- Last 7 days
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zenodo.org zenodo.org
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TRSP Desirable Characteristics The PID Manager MUST maintain entity metadata as accurately as possible in collaboration with the PID Owner. This copy is the authoritative version.
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- Oct 2024
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en.wikipedia.org en.wikipedia.org
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In the beginning of the film, a message appears that states the film encompasses historical facts as well as free personal impressions about Muhammad. Accordingly, some of the film's events did not actually take place in real life, but are indeed similar to events in Muhammad's biography.[6] Majidi stated that the objective behind presenting these scenes is to show that the whole existence could feel Muhammad's presence as well as his mercy.
Interesting. This is a general problem with historical movies. There is almost no such thing as objectivity. By making a movie, you make choices, you select what makes the cut and what doesn't. and by doing so, you form a certain image of the prophet, in this case. The free personal impressions of Majid are in fact a way to represent a certain image of Muhammad.
From what I have read, Majid is blamed for putting forward a Shi'ite Muhammed forward in the movie. Perhaps his free personal impressions are expressed in this regard?
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- Sep 2024
- Apr 2024
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theconversation.com theconversation.com
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The initial focus is on the learner’s home language (it’s currently being piloted with grade 3 isiZulu-speaking learners at a school in Soweto, Johannesburg). English is introduced gradually as a target language. The language and speech technology has been developed to provide linguistic accuracy and is grounded in teaching principles.
This application is for Grade 3 and up. It doesn't solve the problem I identified which is by Grade 2 most learners can't read for meaning. Stepping in early is key so there is still viability for an application like mine.
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- Mar 2024
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Local file Local file
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The development of the card system and itsmore universal adoption within recent years isundoubtedly due in the mail to the development in modernbusiness and factory organisation ; it may be regarded as anoffspring of manufacture in quantities. (Massenfabrikation, Gross-industrie.) The recognised principle in manufacture in quantities ismaximum of output with minimum of labour. The means to attainthis end is specialisation, which in its turn yields greater precisionand accuracy as it^ result. All this is equally applicable to thecard system, and the last factor, greater precision and accuracy,is one of its most conspicuous claims.
Julius Kaiser contemporaneously posits that mass manufacture and maximizing efficiency (greater output for minimum input) are the primary drivers of card index system use in the early 20th century. These also improve both precision and accuracy in handling information which allow for better company or factory operation, which would have been rising concerns for businesses and manufacturing operations at the rise of scientific management during the time period.
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- Feb 2024
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www.youtube.com www.youtube.com
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Accuracy and Precision
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phys.libretexts.org phys.libretexts.org
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1.3: Accuracy, Precision, and Significant Figures
Precision and Accuracy Guide
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- Jan 2024
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Accuracy of the slide rule. From thediscussion of § 2 it appears that we read fourfigures of a result on one part of the scaleand three figures on the remaining part.Assuming that the error of a reading is onetenth of the smallest interval following theleft-hand index of D, we conclude that theerror is roughly 1 in 1000 or one tenth of oneper cent. The effect of the assumed errorin judging a distance is inversely propor-tional to the length of the rule. Hencewe associate with a 10-inch slide rule anerror of one tenth of one per cent, with a20-inch slide rule an error of one twentiethof one per cent or 1 part in 2000, and withthe Thacher Cylindrical slide rule an errorof a hundredth of one per cent or one part.in 10,000. The accuracy obtainable withthe 10-inch slide rule is sufficient for manypractical purposes; in any ease the sliderule result serves as a check.
The accuracy of most 10 inch slide rules is approximately 1 in 1000 or one tenth of one percent.
Because the error in approximating distance is inversely proportion to the length of a slide rule, longer slide rules will have proportionally smaller errors, so while a 10 inch slide rule has an error of 1 in 1000, a 20 inch will have an error of 1 in 2000 and larger rules can be accurate to within 1 in 10,000 or better.
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- Aug 2022
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www.w3.org www.w3.org
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To increase the granularity of vcontrol, HTML elements can be subclasssed
The "subclassing" word choice here is interesting. It matches the model eventually suggested in HTML 3.x, but at the time of this draft, HTML was in a draft specification stage (third revision — "02") for HTML 2.0
I'm interested in the discussion that led to this.
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psyarxiv.com psyarxiv.com
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Laurent, C. de S., Murphy, G., Hegarty, K., & Greene, C. (2021). Measuring the effects of misinformation exposure on behavioural intentions. PsyArXiv. https://doi.org/10.31234/osf.io/2xngy
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psyarxiv.com psyarxiv.com
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Epstein, Z., Berinsky, A., Cole, R., Gully, A., Pennycook, G., & Rand, D. (2021). Developing an accuracy-prompt toolkit to reduce COVID-19 misinformation online. PsyArXiv. https://doi.org/10.31234/osf.io/sjfbn
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- May 2022
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3stages.org 3stages.org
- Apr 2022
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twitter.com twitter.com
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Prof Francois Balloux [@BallouxFrancois]. (2021, December 9). This may have sounded somewhat naïve in early 2020, but by now, I would have expected that anyone with an interest in covid-19 might have acquired some basic notions in infectious disease epidemiology. 1/ [Tweet]. Twitter. https://twitter.com/BallouxFrancois/status/1469063480334561285
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- Mar 2022
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twitter.com twitter.com
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ReconfigBehSci. (2022, January 5). RT @thehowie: "...Rapid antigen tests may not be as fit-for-purpose in routine workplace screening to prevent asymptomatic spread of Omicro… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1478796550004486151
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psyarxiv.com psyarxiv.com
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Arechar, A. A., Allen, J. N. L., berinsky, a., Cole, R., Epstein, Z., Garimella, K., … Rand, D. G. (2022, February 11). Understanding and Reducing Online Misinformation Across 16 Countries on Six Continents. https://doi.org/10.31234/osf.io/a9frz
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- Dec 2021
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twitter.com twitter.com
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Tom Moultrie. (2021, December 12). Given the comedic misinterpretation of the South African testing data offered by @BallouxFrancois (and many others!) last night ... I offer some tips having contributed to the analysis of the testing data for the @nicd_sa since April last year. (1/6) [Tweet]. @tomtom_m. https://twitter.com/tomtom_m/status/1469954015932915718
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- Nov 2021
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psyarxiv.com psyarxiv.com
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Epstein, Z., Sirlin, N., Arechar, A. A., Pennycook, G., & Rand, D. (2021). Social Media Sharing Reduces Truth Discernment. PsyArXiv. https://doi.org/10.31234/osf.io/q4bd2
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- Oct 2021
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www.bbc.co.uk www.bbc.co.uk
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Covid: Lateral flow tests more accurate than first thought, study finds—BBC News. (n.d.). Retrieved October 15, 2021, from https://www.bbc.co.uk/news/health-58899612
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psyarxiv.com psyarxiv.com
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Pennycook, G., & Rand, D. (2021). Nudging social media sharing towards accuracy. PsyArXiv. https://doi.org/10.31234/osf.io/tp6vy
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covid19scenariomodelinghub.org covid19scenariomodelinghub.org
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Home - COVID 19 scenario model hub. (n.d.). Retrieved July 5, 2021, from https://covid19scenariomodelinghub.org/
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- Sep 2021
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www.newscientist.com www.newscientist.com
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Klein, Alice. “Cheap Covid-19 Antibody Test Shows If You Have Immunity in 5 Minutes.” New Scientist. Accessed September 20, 2021. https://www.newscientist.com/article/2290120-cheap-covid-19-antibody-test-shows-if-you-have-immunity-in-5-minutes/.
Tags
- vaccination
- Coronavirus
- antibody
- immunity
- fast
- lang:en
- approval
- is:news
- accuracy
- COVID-19
- saliva
- clinical trial
- protection
- cheap
- blood
- infection
Annotators
URL
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- Jul 2021
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www.newscientist.com www.newscientist.com
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Roberts, M. (n.d.). Artificial intelligence has been of little use for diagnosing covid-19. New Scientist. Retrieved 24 May 2021, from https://www.newscientist.com/article/mg25033350-100-artificial-intelligence-has-been-of-little-use-for-diagnosing-covid-19/
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- Jun 2021
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medium.com medium.com
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Jigsaw. (2021, March 17). Distraction Helps Misinformation Spread. Thinking About Accuracy Can Reduce it. Medium. https://medium.com/jigsaw/distraction-helps-misinformation-spread-thinking-about-accuracy-can-reduce-it-a4e5d8371a85
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www.theguardian.com www.theguardian.com
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Rapid Covid tests used in mass UK programme get scathing US report | Coronavirus | The Guardian. (n.d.). Retrieved June 12, 2021, from https://www.theguardian.com/world/2021/jun/11/us-health-agency-gives-innova-lateral-flow-covid-tests-scathing-review
Tags
- USA
- mass testing
- data
- concern
- Innova
- lang:en
- risk
- government
- UK
- is:news
- accuracy
- COVID-19
- FDA
- lateral flow
- rapid COVID test
- US Food and Drug Agency
- intervention
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- May 2021
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www.frontiersin.org www.frontiersin.org
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Gu, T., Wang, L., Xie, N., Meng, X., Li, Z., Postlethwaite, A. E., Aleya, L., Howard, S., Gu, W., & Wang, Y. (2021). Towards a country-based prediction model of COVID-19 infections and deaths between disease apex and end: -Evidence from countries with contained numbers of COVID-19. Frontiers in Medicine, 8. https://doi.org/10.3389/fmed.2021.585115
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Carbon, C. C. (2020). Wearing face masks strongly confuses counterparts in reading emotions [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/x3uh6
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journals.sagepub.com journals.sagepub.com
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Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G. (2020). Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention. Psychological Science, 0956797620939054. https://doi.org/10.1177/0956797620939054
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www.nytimes.com www.nytimes.com
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Wu, K. J. (2020, November 2). A Rapid Virus Test Falters in People Without Symptoms, Study Finds. The New York Times. https://www.nytimes.com/2020/11/02/health/coronavirus-testing-quidel-sofia.html
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twitter.com twitter.com
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🔥 Kareem Carr 🔥 on Twitter. (n.d.). Twitter. Retrieved 1 May 2021, from https://twitter.com/kareem_carr/status/1383925269132582912
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- Mar 2021
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psyarxiv.com psyarxiv.com
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Fischer, H., Said, N., & Huff, M. (2021). Insight into the accuracy of COVID-19 beliefs predicts behavior during the pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/x2qv3
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twitter.com twitter.com
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ReconfigBehSci. (2020, November 9). Session 2: The policy interface followed with a really helpful presentation by Lindsey Pike, from Bristol, and then panel discussion with Mirjam Jenny (Robert Koch Insitute), Paulina Lang (UK Cabinet Office), Rachel McCloy (Reading Uni.), and Rene van Bavel (European Commission) [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1325795286065815552
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- Feb 2021
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psyarxiv.com psyarxiv.com
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Longoni, C., Fradkin, A., Cian, L., & Pennycook, G. (2021, February 16). News from Artificial Intelligence is Believed Less. https://doi.org/10.31234/osf.io/wgy9e
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- Nov 2020
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psyarxiv.com psyarxiv.com
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Pennycook, G., & Rand, D. (2020). The Cognitive Science of Fake News. PsyArXiv. https://doi.org/10.31234/osf.io/ar96c
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psyarxiv.com psyarxiv.com
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Bauer, B., Larsen, K. L., Caulfield, N., Elder, D., Jordan, S., & Capron, D. (2020). Review of Best Practice Recommendations for Ensuring High Quality Data with Amazon’s Mechanical Turk. PsyArXiv. https://doi.org/10.31234/osf.io/m78sf
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- Oct 2020
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twitter.com twitter.com
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Royal Statistical Society on Twitter. (n.d.). Twitter. Retrieved October 25, 2020, from https://twitter.com/RoyalStatSoc/status/1317133702183456769
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psyarxiv.com psyarxiv.com
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Jaeger, B., Oud, B., Williams, T., Krumhuber, E., Fehr, E., & Engelmann, J. B. (2020, October 20). Trustworthiness detection from faces: Does reliance on facial impressions pay off?. https://doi.org/10.31234/osf.io/ayqeh
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erj.ersjournals.com erj.ersjournals.com
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Martin, G. P., Sperrin, M., & Sotgiu, G. (2020). Performance of Prediction Models for Covid-19: The Caudine Forks of the External Validation. European Respiratory Journal. https://doi.org/10.1183/13993003.03728-2020
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academic.oup.com academic.oup.com
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Abbott, K. R., & Sherratt, T. N. (2013). Optimal sampling and signal detection: Unifying models of attention and speed–accuracy trade-offs. Behavioral Ecology, 24(3), 605–616. https://doi.org/10.1093/beheco/art001
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www.thelancet.com www.thelancet.com
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Surkova, E., Nikolayevsskyy, V., Drobniewski, F. (2020). False-positive COVID-19 results: hidden problems and costs. The Lancet Respiratory Medicine. https://doi.org/10.1016/S2213-2600(20)30453-7
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- Sep 2020
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Humphries, R., Mulchrone, K., Tratalos, J., More, S., & Hövel, P. (2020). A Systematic Framework of Modelling Epidemics on Temporal Networks. ArXiv:2009.11965 [Nlin, Physics:Physics]. http://arxiv.org/abs/2009.11965
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pure.mpg.de pure.mpg.de
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Leuker, C., Hertwig, R., Gumenik, K., Eggeling, L. M., Hechtlinger, S., Kozyreva, A., Samaan, L., & Fleischhut, N. (2020). Wie informiert sich die Bevölkerung in Deutschland rund um das Coronavirus? Umfrage zu vorherrschenden Themen und Gründen, dem Umgang mit Fehlinformationen, sowie der Risikowahrnehmung und dem Wissen der Bevölkerung rund um das Coronavirus (Version 5, p. 966670) [Application/pdf]. Max-Planck-Institut für Bildungsforschung. https://doi.org/10.17617/2.3247925
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psyarxiv.com psyarxiv.com
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Vlasceanu, M., & Coman, A. (2020). The Impact of Social Norms on Belief Update [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/gsem6
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www.covid-projections.com www.covid-projections.com
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COVID Projections Tracker. (n.d.). Retrieved September 7, 2020, from https://www.covid-projections.com/
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ctbergstrom.com ctbergstrom.com
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Bergstrom, T., Bergstrom, C. T., & Li, H. (n.d.). Frequency and accuracy of proactive testing for COVID-19. 20.
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psyarxiv.com psyarxiv.com
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Yang, Scott Cheng-Hsin, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, and Patrick Shafto. ‘Unifying Recommendation and Active Learning for Information Filtering and Recommender Systems’. Preprint. PsyArXiv, 25 August 2020. https://doi.org/10.31234/osf.io/jqa83.
Tags
- experimental approach
- is:preprint
- recommender system
- AI
- information filtering
- predictive accuracy
- cognitive science
- lang:en
- algorithms
- Internet
- machine learning
- computer science
- parameterized model
- active learning
- recommendation accuracy
- artificial intelligence
- exploration-exploitation tradeoff
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now.tufts.edu now.tufts.edu
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Warning witnesses of the possibility of misinformation helps protect their memory accuracy. (2020, August 30). Tufts Now. https://now.tufts.edu/news-releases/warning-witnesses-possibility-misinformation-helps-protect-their-memory-accuracy
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- Aug 2020
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bjgp.org bjgp.org
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Smith, C. F., Drew, S., Ziebland, S., & Nicholson, B. D. (2020). Understanding the role of GPs’ gut feelings in diagnosing cancer in primary care: A systematic review and meta-analysis of existing evidence. British Journal of General Practice, 70(698), e612–e621. https://doi.org/10.3399/bjgp20X712301
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theconversation.com theconversation.com
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Cheng, A., Williamson, D., & Lewin, S. (n.d.). Explainer: What’s the new coronavirus saliva test, and how does it work? The Conversation. Retrieved July 6, 2020, from http://theconversation.com/explainer-whats-the-new-coronavirus-saliva-test-and-how-does-it-work-141877
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pubs.acs.org pubs.acs.org
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Shan, B., Broza, Y. Y., Li, W., Wang, Y., Wu, S., Liu, Z., Wang, J., Gui, S., Wang, L., Zhang, Z., Liu, W., Zhou, S., Jin, W., Zhang, Q., Hu, D., Lin, L., Zhang, Q., Li, W., Wang, J., … Haick, H. (2020). Multiplexed Nanomaterial-Based Sensor Array for Detection of COVID-19 in Exhaled Breath. ACS Nano. https://doi.org/10.1021/acsnano.0c05657
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www.thelancet.com www.thelancet.com
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Mohammadi, A., Esmaeilzadeh, E., Li, Y., Bosch, R. J., & Li, J. Z. (2020). SARS-CoV-2 detection in different respiratory sites: A systematic review and meta-analysis. EBioMedicine, 0(0). https://doi.org/10.1016/j.ebiom.2020.102903
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www.nature.com www.nature.com
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Shi, W., Wang, L., & Qin, J. (2020). Extracting user influence from ratings and trust for rating prediction in recommendations. Scientific Reports, 10(1), 13592. https://doi.org/10.1038/s41598-020-70350-1
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arxiv.org arxiv.org
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Engelhardt, R., Hendricks, V. F., & Stærk-Østergaard, J. (2020). The Wisdom and Persuadability of Threads. ArXiv:2008.05203 [Physics]. http://arxiv.org/abs/2008.05203
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Manski, C. F. (2020). Bounding the Predictive Values of COVID-19 Antibody Tests (Working Paper No. 27226; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27226
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Manski, C. F., & Molinari, F. (2020). Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem (Working Paper No. 27023; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27023
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www.fastcompany.com www.fastcompany.com
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Taraborelli, D., Taraborelli, D., & Taraborelli, D. (2020, August 5). How the COVID-19 crisis has prompted a revolution in scientific publishing. Fast Company. https://www.fastcompany.com/90537072/how-the-covid-19-crisis-has-prompted-a-revolution-in-scientific-publishing
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- Jul 2020
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arxiv.org arxiv.org
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Kaptchuk, G., Goldstein, D. G., Hargittai, E., Hofman, J., & Redmiles, E. M. (2020). How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt. ArXiv:2005.04343 [Cs]. http://arxiv.org/abs/2005.04343
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Cazabet, R., Boudebza, S., & Rossetti, G. (2020). Evaluating Community Detection Algorithms for Progressively Evolving Graphs. ArXiv:2007.08635 [Physics]. http://arxiv.org/abs/2007.08635
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www.thelancet.com www.thelancet.com
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Behrmann, Ole, and Martin Spiegel. ‘COVID-19: From Rapid Genome Sequencing to Fast Decisions’. The Lancet Infectious Diseases 0, no. 0 (14 July 2020). https://doi.org/10.1016/S1473-3099(20)30580-6.
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Parsons, Sam. ‘Reliability Multiverse’, 26 June 2020. https://doi.org/10.31234/osf.io/y6tcz.
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twitter.com twitter.com
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David G. Rand en Twitter: “Today @GordPennycook & I wrote a @nytimes op ed ‘The Right Way to Fix Fake News’ https://t.co/dyF84g6oqv tl;dr: Platforms must rigorously TEST interventions, b/c intuitions about what will work are often wrong In this thread I unpack the many studies behind our op ed 1/” / Twitter. (n.d.). Twitter. Retrieved April 15, 2020, from https://twitter.com/DG_Rand/status/1242526565793136641
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www.propublica.org www.propublica.org
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Chen, C. (2020, April 28). What Antibody Studies Can Tell You—And More Importantly, What They Can’t. ProPublica. https://www.propublica.org/article/what-antibody-studies-can-tell-you-and-more-importantly-what-they-cant
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www.buzzfeednews.com www.buzzfeednews.com
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Lee, S. M. (2020, April 22) Two Antibody Studies Say Coronavirus Infections Are More Common Than We Think. Scientists Are Mad. https://www.buzzfeednews.com/article/stephaniemlee/coronavirus-antibody-test-santa-clara-los-angeles-stanford
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psycnet.apa.org psycnet.apa.org
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Attali, Y., Budescu, D., & Arieli-Attali, M. (2020). An item response approach to calibration of confidence judgments. Decision, 7(1), 1–19. https://doi.org/10.1037/dec0000111
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psycnet.apa.org psycnet.apa.org
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Winman, A., Hansson, P., & Juslin, P. (2004). Subjective Probability Intervals: How to Reduce Overconfidence by Interval Evaluation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30(6), 1167–1175. https://doi.org/10.1037/0278-7393.30.6.1167
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ftalphaville.ft.com ftalphaville.ft.com
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Is the “science” behind the lockdown any good? (n.d.). Financial Times. Retrieved June 2, 2020, from http://ftalphaville.ft.com/2020/05/21/1590091709000/It-s-all-very-well--following-the-science---but-is-the-science-any-good--/
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- May 2020
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www.psychologicalscience.org www.psychologicalscience.org
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Why We Fall Prey to Misinformation. (n.d.). Association for Psychological Science - APS. Retrieved May 29, 2020, from https://www.psychologicalscience.org/news/releases/why-we-fall-prey-to-misinformation.html
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Mei, X., Lee, H.-C., Diao, K., Huang, M., Lin, B., Liu, C., Xie, Z., Ma, Y., Robson, P. M., Chung, M., Bernheim, A., Mani, V., Calcagno, C., Li, K., Li, S., Shan, H., Lv, J., Zhao, T., Xia, J., … Yang, Y. (2020). Artificial intelligence for rapid identification of the coronavirus disease 2019 (COVID-19). MedRxiv, 2020.04.12.20062661. https://doi.org/10.1101/2020.04.12.20062661
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Mandel, D. R., Collins, R. N., Risko, E. F., & Fugelsang, J. A. (2020). Effect of Confidence Interval Construction on Judgment Accuracy. https://doi.org/10.31234/osf.io/mktgj
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psyarxiv.com psyarxiv.com
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Michalak, N. M., Sng, O., Wang, I., & Ackerman, J. (2020, May 14). Sounds of sickness: Can people identify infectious disease using sounds of coughs and sneezes?. https://doi.org/10.1098/rspb.2020.0944
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Smelter, T. J., & Calvillo, D. P. (2020). Pictures and repeated exposure increase perceived accuracy of news headlines. Applied Cognitive Psychology, acp.3684. https://doi.org/10.1002/acp.3684
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www.iubenda.com www.iubenda.com
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they’ve contested its accuracy
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- Apr 2020
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psyarxiv.com psyarxiv.com
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Rafiei, F., & Rahnev, D. (2020, April 9). Does the diffusion model account for the effects of speed-accuracy tradeoff on response times?. https://doi.org/10.31234/osf.io/bhj85
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royalsocietypublishing.org royalsocietypublishing.org
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Tiokhin, L., & Derex, M. (n.d.). Competition for novelty reduces information sampling in a research game—A registered report. Royal Society Open Science, 6(5), 180934. https://doi.org/10.1098/rsos.180934
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- Mar 2019
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wiobyrne.com wiobyrne.com
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WebQuests typically contain an introduction, task, process, evaluation, and conclusion
The process of obtaining information from the web which can help students to understand the type of information they are recieving and deciding if it is relevant and accurate
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- Nov 2018
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iphysresearch.github.io iphysresearch.github.io
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Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
这文帅了~ 信息丰富 超多的图~ 让人眼前一亮~
探讨了18个模型的鲁棒性和准确率。结论很多，如模型构架是影响鲁棒性和准确率的重要因素（似乎是废话）；相似模型构架基础上增加“深度”对鲁棒性的提升很微弱；有些模型(Vgg类)的表现出很强的对抗样本迁移性。。。
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- Aug 2018
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www.numbeo.com www.numbeo.com
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Accuracy and completeness in filling out reports73.66
73.66
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wendynorris.com wendynorris.com
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Similarly, theories of informant accuracy posit that those with accurate domainknowledge provide more reliable responses with less error than those without such knowledge (Romney et al.,1986; Romneyand Weller,1984; Sudman et al.,1996; Weller and Romney,1988). Their observations will cluster around a single“truth”whileinaccurate observations (i.e. error) will be randomly scattered around the truth; that is, error is inhomogeneous and does nottypically converge around a small number of data points.
Informant accuracy is also new to me.
Get these papers. This framework might help strengthen the information quality/data validity as a broader notion of my sociotemporal representations research.
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- May 2017
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reclaimourrepublic.wordpress.com reclaimourrepublic.wordpress.com
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Accuracy in Media
This may be a front group. Investigate, find additional sources, and leave research notes in the comments.
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www.gopusa.com www.gopusa.com
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www.aim.org www.aim.org
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www.freerepublic.com www.freerepublic.com
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www.trevorloudon.com www.trevorloudon.com
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www.washingtontimes.com www.washingtontimes.com
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www.aim.org www.aim.org
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www.aim.org www.aim.org
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www.gopusa.com www.gopusa.com
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www.aim.org www.aim.org
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www.aim.org www.aim.org
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- Jan 2017
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aeon.co aeon.co
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AI criticism is also limited by the accuracy of human labellers, who must carry out a close reading of the ‘training’ texts before the AI can kick in. Experiments show that readers tend to take longer to process events that are distant in time or separated by a time shift (such as ‘a day later’).
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- Oct 2013
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rhetoric.eserver.org rhetoric.eserver.org
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The enthymeme must consist of few propositions, fewer often than those which make up the normal syllogism. For if any of these propositions is a familiar fact, there is no need even to mention it
Be accurate. (From chapter 1.)
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rhetoric.eserver.org rhetoric.eserver.org
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irrelevant speaking is forbidden in the law-courts
Rhetoric always has to be accurate to the point.
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