{"id":"W4286247879","doi":"10.1093/pnasnexus/pgac093","title":"Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning","year":2022,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Carleton University; University of Waterloo; Western University; University of British Columbia; Public Health Ontario; University of Toronto; Toronto Metropolitan University","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; National Institute on Aging; Australian Research Council; Biotechnology and Biological Sciences Research Council; Medical Research Council; Batten Institute for Innovation and Entrepreneurship, Darden School of Business, University of Virginia; Agencia Nacional de Investigación y Desarrollo; Universidad del Rosario; NOMIS Stiftung; Darden School of Business, University of Virginia; Hong Kong University of Science and Technology; Universidad de Huelva; Social Sciences and Humanities Research Council of Canada; Aarhus Universitet; Hrvatska Zaklada za Znanost; Fondo para la Investigación Científica y Tecnológica; Universität Wien; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan; Consejo Nacional de Investigaciones Científicas y Técnicas; Directorate for Biological Sciences; Conselho Nacional de Desenvolvimento Científico e Tecnológico; John Templeton Foundation; National Natural Science Foundation of China; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Austrian Science Fund; Scuola IMT Alti Studi Lucca; National Institutes of Health; Volkswagen Foundation; Universidad del Valle; Global Brain Health Institute; Deutsche Forschungsgemeinschaft; Sistema Nacional de Investigadores; Rainwater Charitable Foundation; Norges Forskningsråd; Agentúra na Podporu Výskumu a Vývoja; University of Virginia; University of Oxford; Aarhus Universitets Forskningsfond; Alzheimer's Association; Academy of Finland","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Artificial intelligence; Cognitive psychology; Computer science; Virology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003248434,0.0003324223,0.0003535014,0.0008780161,0.0003404378,0.0009248225,0.0002907865,0.0005962694,0.001954947],"category_scores_gemma":[0.0127516,0.0001117953,0.000506328,0.000774765,0.0002880243,0.0004766758,0.0005426037,0.001390235,0.0003304528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004521214,"about_ca_system_score_gemma":0.0005269432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005209168,"about_ca_topic_score_gemma":0.007040143,"domain_scores_codex":[0.9986457,0.0009161426,0.00006530355,0.0001529447,0.00009662953,0.0001231238],"domain_scores_gemma":[0.9883296,0.008850862,0.001357814,0.00045993,0.0005382186,0.0004635541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007455637,0.0003646645,0.9808059,0.00002237796,0.00007593534,0.0000127477,0.000139892,0.00322129,0.0001860704,0.00009155795,0.0004863181,0.01451875],"study_design_scores_gemma":[0.000009410757,0.0002292336,0.9127473,0.00006761777,0.00004911267,0.00003439723,0.0009731458,0.08399679,0.0003834415,0.0009025694,0.0005881895,0.00001873085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967031,0.00008397515,0.001692579,0.0002811251,0.00001842059,0.00002863584,0.000525856,0.00001590728,0.000650392],"genre_scores_gemma":[0.9980803,0.00004785188,0.00107646,0.00004869642,0.00001118635,0.00002736879,0.0005632227,0.00000166531,0.0001433196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005209168,"threshold_uncertainty_score":0.01717961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2706403589310706,"score_gpt":0.502335949781352,"score_spread":0.2316955908502814,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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