{"id":"W6920644939","doi":"10.60692/6zgew-83w19","title":"COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Globe; Government (linguistics); Pandemic; Raw data; Inclusion (mineral); Coronavirus disease 2019 (COVID-19); Tracking (education)","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":[0.001861799,0.0005593597,0.0006104512,0.00174327,0.0007578246,0.001020275,0.001168452,0.001200244,0.01591183],"category_scores_gemma":[0.01300464,0.0003267823,0.000732908,0.003291573,0.0002997926,0.0006662205,0.002635596,0.00138394,0.01065448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001387014,"about_ca_system_score_gemma":0.001788329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04470523,"about_ca_topic_score_gemma":0.06216449,"domain_scores_codex":[0.9985843,0.0004374662,0.0002134451,0.0002768382,0.0002764332,0.0002116433],"domain_scores_gemma":[0.9943969,0.001426549,0.0008899407,0.001029983,0.001708867,0.0005478344],"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":[0.0002618049,0.0001145747,0.05417905,0.0005376983,0.000128433,0.00007645218,0.0003222735,0.0005991637,0.0002731479,0.001086924,0.9320621,0.01035833],"study_design_scores_gemma":[0.0003875556,0.0001620241,0.4964466,0.0008014464,0.0001034988,0.0001815484,0.001489887,0.001315476,0.0007499984,0.002306479,0.4959204,0.0001349979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007931019,0.00007044587,0.0002003238,0.0005544041,0.00005487742,0.00006528419,0.9894267,0.0001277435,0.001569259],"genre_scores_gemma":[0.01283346,0.00007931518,0.0007650881,0.0003316664,0.00003828407,0.000524939,0.9836879,0.0000422207,0.001697264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04470523,"threshold_uncertainty_score":0.08889008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2584799821610776,"score_gpt":0.4027540311042641,"score_spread":0.1442740489431864,"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."}}