{"id":"W3045130304","doi":"10.1080/08897077.2020.1784363","title":"Covid-19 and Persons with Substance Use Disorders: Inequities and Mitigation Strategies","year":2020,"lang":"en","type":"article","venue":"Substance Abuse","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Pandemic; Harm; Public health; Substance use; Health care; Coronavirus disease 2019 (COVID-19); Medicine; Psychiatry; Substance abuse; Population; Environmental health; Psychology; Political science; Nursing; Disease; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.00009958741,0.0001959977,0.0002190923,0.00005091662,0.0001989484,0.00009701851,0.00008675295,0.00007268545,0.0001226121],"category_scores_gemma":[0.00002362951,0.0001781724,0.00002076409,0.0002397152,0.0003389519,0.0005676069,0.000006767482,0.0001659302,0.0000103905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001062921,"about_ca_system_score_gemma":0.000232333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008017643,"about_ca_topic_score_gemma":0.02534388,"domain_scores_codex":[0.9987786,0.00007483945,0.0001910474,0.0004630612,0.0001567823,0.0003356761],"domain_scores_gemma":[0.9989992,0.000227978,0.00009678295,0.0001996293,0.00002450267,0.0004519181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001602608,0.0001220806,0.4222575,0.0008529346,0.0000840661,0.0001025332,0.5360867,0.00003289689,0.0006439373,0.03270929,0.003489081,0.002016313],"study_design_scores_gemma":[0.01337768,0.00241818,0.3243823,0.0003677814,0.0001850758,0.00008984577,0.5132012,0.0003589078,0.0002675103,0.005920423,0.1374817,0.001949391],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896668,0.003869218,0.001635427,0.003718742,0.00008875837,0.0003969771,0.0000680833,0.0001381028,0.0004178438],"genre_scores_gemma":[0.9913667,0.001804707,0.0003245178,0.006066803,0.00006035593,0.00005470996,0.00002298452,0.00002708283,0.0002720966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1339927,"threshold_uncertainty_score":0.9924411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07342533821882512,"score_gpt":0.353080135041946,"score_spread":0.2796547968231209,"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."}}