{"id":"W4283206600","doi":"10.1038/s41597-022-01383-6","title":"COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Texas A and M University","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Data science; Geography; Biology; Virology; Medicine; Computer science; Pathology; Outbreak; Infectious disease (medical specialty)","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":[0.002096861,0.000592145,0.0007144106,0.002020147,0.0007841255,0.001238755,0.001262108,0.001432005,0.01495617],"category_scores_gemma":[0.01594123,0.000335986,0.0008739433,0.003710257,0.000331947,0.0006643688,0.002641451,0.001525874,0.01134391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133846,"about_ca_system_score_gemma":0.00174211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03519395,"about_ca_topic_score_gemma":0.04713328,"domain_scores_codex":[0.9982941,0.0005495342,0.0002505905,0.0003325337,0.000332173,0.0002410565],"domain_scores_gemma":[0.9935756,0.00174585,0.001087352,0.001096001,0.00188467,0.0006105962],"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":[0.0003024504,0.0001199693,0.05252133,0.0005794701,0.0001548379,0.00008196486,0.0002626495,0.0006767356,0.0002477588,0.001134958,0.9338801,0.01003776],"study_design_scores_gemma":[0.0005018863,0.0001849581,0.4448673,0.0009684958,0.0001257012,0.0002357857,0.001283661,0.001471182,0.0007205824,0.002942258,0.5465382,0.0001600722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006270139,0.000087731,0.000225937,0.0005042696,0.00006298992,0.00006205233,0.9914092,0.0001252528,0.001252364],"genre_scores_gemma":[0.01079062,0.0000850917,0.0007740306,0.0003284386,0.00004446866,0.000518748,0.9861045,0.00004043777,0.001313515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03519395,"threshold_uncertainty_score":0.06997818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4563412743949642,"score_gpt":0.5145741972217943,"score_spread":0.05823292282683012,"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."}}