{"id":"W3092872384","doi":"10.1038/s41597-020-00784-9","title":"COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak","year":2021,"lang":"en","type":"article","venue":"Scientific Data","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek; Grantová Agentura České Republiky; Japan Society for the Promotion of Science; National Research University Higher School of Economics; Ministry of Education, Culture, Sports, Science and Technology; Institut Français de Bioinformatique","keywords":"Coronavirus disease 2019 (COVID-19); Outbreak; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Geography; Data science; Virology; Medicine; Computer science; Infectious disease (medical specialty); Pathology; Disease","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001461852,0.0005594992,0.000616841,0.002501575,0.0005079333,0.0009281597,0.0008454242,0.001025216,0.01016007],"category_scores_gemma":[0.00906034,0.0002503543,0.0006666903,0.004719052,0.0002195318,0.0004945518,0.001677761,0.0008322253,0.005840304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012145,"about_ca_system_score_gemma":0.001403915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03959456,"about_ca_topic_score_gemma":0.05246735,"domain_scores_codex":[0.9988089,0.0003907616,0.0001848586,0.0001881445,0.000258406,0.0001689465],"domain_scores_gemma":[0.9953499,0.001671233,0.0008416849,0.0005462499,0.001198687,0.0003922668],"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":[0.000270665,0.0001602999,0.1240824,0.001569766,0.0002189302,0.0001404686,0.0006158224,0.001206661,0.0004401038,0.001325267,0.8524199,0.01754971],"study_design_scores_gemma":[0.0002073609,0.0001517711,0.5283684,0.0008954204,0.0001015307,0.0002405322,0.002336111,0.001735599,0.0004428216,0.001637585,0.463776,0.0001068354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01077322,0.0001276765,0.0001851455,0.0002912947,0.0000385441,0.00007002843,0.9871941,0.00007201893,0.001247957],"genre_scores_gemma":[0.0169689,0.0001339839,0.0007328022,0.0001724389,0.00002953546,0.0005434623,0.9805156,0.00002190744,0.0008814167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9991546,"threshold_uncertainty_score":0.0787282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4288288099094211,"score_gpt":0.5209819841713665,"score_spread":0.09215317426194547,"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."}}