{"id":"W4320038879","doi":"10.1038/s41597-022-01811-7","title":"The Psychological Science Accelerator’s COVID-19 rapid-response dataset","year":2023,"lang":"en","type":"article","venue":"Scientific Data","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Wilfrid Laurier University","funders":"National Cancer Institute; National Institute of Mental Health; Fundação para a Ciência e a Tecnologia; Japan Society for the Promotion of Science; Morsani College of Medicine; National Institutes of Health; Universidad de los Andes; Agentúra na Podporu Výskumu a Vývoja; Agence Nationale de la Recherche; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Research University Higher School of Economics; UK Research and Innovation; Agencia Nacional de Investigación y Desarrollo; Uniwersytet Wrocławski; Univerzita Karlova v Praze; Kingston University; Economic and Social Research Council; European Commission; Narodowym Centrum Nauki; Amazon Web Services","keywords":"Framing (construction); Coronavirus disease 2019 (COVID-19); Pandemic; Autonomy; Psychology; Framing effect; Raw data; Cognition; Psychological science; Social psychology; Medicine; Geography; Statistics; Mathematics; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005180792,0.0007184921,0.0009577295,0.003134912,0.001183337,0.001924499,0.002328106,0.0020796,0.04541344],"category_scores_gemma":[0.03936482,0.0005719793,0.0008550957,0.005881093,0.000374779,0.0008489899,0.002947055,0.00198869,0.02478716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00193881,"about_ca_system_score_gemma":0.00389204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02981264,"about_ca_topic_score_gemma":0.04527611,"domain_scores_codex":[0.9961055,0.001494717,0.0006216012,0.0006661469,0.0007073141,0.0004046586],"domain_scores_gemma":[0.9804473,0.009002341,0.002316119,0.00323817,0.003888638,0.001107432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002355173,0.00007006303,0.01052799,0.0007111823,0.00006528413,0.00005786623,0.000171299,0.000384718,0.00008641157,0.001237608,0.9802349,0.00621717],"study_design_scores_gemma":[0.0006944212,0.00009944568,0.05341509,0.0009891987,0.00008762377,0.0001303065,0.0006869894,0.0009632577,0.0003067659,0.00295409,0.939573,0.00009968239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001228864,0.00005799005,0.0002753876,0.0003104266,0.00005396676,0.0001376847,0.9966653,0.0001098863,0.001160429],"genre_scores_gemma":[0.005515367,0.00009290467,0.001610135,0.000401099,0.00005703937,0.002544071,0.987999,0.00007989613,0.001700557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04541344,"threshold_uncertainty_score":0.1519231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3940632159279168,"score_gpt":0.5637136789219475,"score_spread":0.1696504629940306,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}