{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007730282,0.000135705,0.0001794283,0.0001743159,0.0009226298,0.00002246855,0.0001234882,0.00004334134,0.00108097],"category_scores_gemma":[0.0001338488,0.0001510225,0.00003734971,0.000243533,0.00004322801,0.00004689923,0.0003108597,0.0004587948,0.0000195588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007966713,"about_ca_system_score_gemma":0.0002998493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0162254,"about_ca_topic_score_gemma":0.0007477405,"domain_scores_codex":[0.998307,0.0004464285,0.0002308541,0.0004065655,0.0002119641,0.0003971772],"domain_scores_gemma":[0.9990577,0.0003141525,0.00008776784,0.0001765966,0.00001132599,0.0003524948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007840192,0.0001038689,0.9849482,0.00003186062,0.00001213162,0.0001262491,0.008153522,0.0003288764,0.001478484,0.0001251309,0.0001272438,0.003780424],"study_design_scores_gemma":[0.005990691,0.004790666,0.5245969,0.00005037036,0.00023486,0.003213726,0.02074349,0.005044912,0.00004259061,0.0003631149,0.4339055,0.001023262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966813,0.0009923824,0.0002941949,0.000481471,0.0006460481,0.0003328435,0.00007381897,0.0001604797,0.0003374643],"genre_scores_gemma":[0.9944212,0.000006782398,0.0001774041,0.002696561,0.0001217461,0.00007359293,0.00001961597,0.00002663276,0.002456468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4603513,"threshold_uncertainty_score":0.9998322,"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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