{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00205508,0.0001309561,0.0001903466,0.00002778585,0.000358828,0.0001220322,0.001367455,0.00008197407,0.0009891039],"category_scores_gemma":[0.0008582456,0.00009029064,0.00002865726,0.0005135561,0.001759369,0.00009238752,0.001027104,0.0001439669,0.00008190343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061979,"about_ca_system_score_gemma":0.0006420534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009908001,"about_ca_topic_score_gemma":0.0161488,"domain_scores_codex":[0.9971732,0.0007410546,0.0003059145,0.001089559,0.0003748582,0.0003154275],"domain_scores_gemma":[0.996292,0.0003615641,0.0001390944,0.002886482,0.0000474466,0.0002734388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001170289,0.0004099984,0.3858609,0.00003328952,0.00001336968,0.00005922686,0.0001225892,4.514862e-7,0.0001182333,0.001879023,0.6093608,0.002025156],"study_design_scores_gemma":[0.0008726989,0.00008502996,0.804964,0.000019818,0.00003068647,0.0001360768,0.00051148,0.000004957584,0.0001044218,0.0004978802,0.1926185,0.0001544372],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5310334,0.0003487888,0.00003447076,0.003292631,0.003373808,0.0002228889,0.4611482,0.00001945141,0.0005263329],"genre_scores_gemma":[0.9437125,0.00001160837,0.00004221047,0.003894725,0.0000241122,0.000006166334,0.05151922,0.000004438115,0.000784958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4191031,"threshold_uncertainty_score":0.9999241,"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."}}