{"id":"W3086071709","doi":"10.2139/ssrn.3626460","title":"Acute Discrimination and East Asian-White Mental Health Gap during COVID-19 in Canada","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; York University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Mental health; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); East Asia; White (mutation); Pandemic; Medicine; Psychology; Psychiatry; Virology; Political science; China; Internal medicine; Law; Infectious disease (medical specialty); Genetics; Disease; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009021307,0.0002543229,0.0006372213,0.001151218,0.01021689,0.004243674,0.002020355,0.001708286,0.005851841],"category_scores_gemma":[0.002986953,0.0004768526,0.0007265128,0.002708427,0.001797934,0.001624517,0.004807131,0.004703881,0.0005144167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04406306,"about_ca_system_score_gemma":0.07967258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.988834,"about_ca_topic_score_gemma":0.9955813,"domain_scores_codex":[0.9970747,0.0001149363,0.0000826142,0.0001524181,0.0002651724,0.002310165],"domain_scores_gemma":[0.9945347,0.0001578091,0.0005785729,0.00007021891,0.001076699,0.003581936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004048329,0.00052719,0.9513041,0.00006507429,0.0000619135,0.0005575381,0.0242696,0.0001043897,0.000236971,0.001192441,0.008967767,0.01230822],"study_design_scores_gemma":[0.00001341134,0.0000580178,0.9233824,0.0001284807,0.0000131065,0.00008373339,0.07251305,0.0001034928,0.00005331614,0.0001211881,0.003498114,0.00003172704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909567,0.0005086737,0.00003532185,0.003361242,0.0001061739,0.00005071752,0.00120136,0.000008033552,0.003771689],"genre_scores_gemma":[0.9954352,0.0003265079,0.00004437427,0.0009222605,0.00002482029,0.00003085714,0.0005723459,0.000008090895,0.002635595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04406306,"threshold_uncertainty_score":0.3197014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999171878180121,"score_gpt":0.3091751802590401,"score_spread":0.2891834614772388,"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."}}