{"id":"W3153137717","doi":"10.33696/pharmacol.3.021","title":"COVID-19 and the Health of Illicit Substance Users: Preliminary Analysis from Illicit Drug Transaction Data","year":2021,"lang":"en","type":"article","venue":"Archives of Pharmacology and Therapeutics","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Illicit drug; Pandemic; Coronavirus disease 2019 (COVID-19); Drug; Business; Database transaction; Internet privacy; Medicine; Pharmacology","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":[0.006420378,0.0003540984,0.0005249492,0.003031842,0.000992312,0.001725801,0.001048711,0.000809438,0.006922249],"category_scores_gemma":[0.02964094,0.0002754857,0.001045364,0.006149249,0.001220702,0.001473157,0.00263652,0.001555605,0.0009338243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368833,"about_ca_system_score_gemma":0.002882666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09510828,"about_ca_topic_score_gemma":0.09076779,"domain_scores_codex":[0.9944608,0.003280361,0.0005079353,0.0003368403,0.0006982933,0.0007157822],"domain_scores_gemma":[0.9406939,0.03575556,0.01261269,0.00226846,0.005559396,0.003110006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009868057,0.00006416903,0.9955087,0.00005639958,0.000117135,0.0001225599,0.0003984469,0.0003462414,0.00001934584,0.0003018077,0.0009835712,0.001982973],"study_design_scores_gemma":[0.0000191131,0.0001892531,0.9876202,0.0001051679,0.0001472904,0.0001775838,0.005151604,0.0037153,0.00008037407,0.0004106533,0.002365668,0.00001794738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816897,0.0004262006,0.0005831116,0.001307839,0.00001186257,0.0001201936,0.01414343,0.00001225613,0.001705592],"genre_scores_gemma":[0.9861209,0.0002817304,0.0005764919,0.0001260468,0.00002618488,0.00007340663,0.01220482,0.000007725279,0.0005826771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09510828,"threshold_uncertainty_score":0.1891094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05466633850317062,"score_gpt":0.3705904973038128,"score_spread":0.3159241588006422,"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."}}