{"id":"W4220870166","doi":"10.1186/s13011-022-00452-8","title":"Factors associated with take-home naloxone kit usage in British Columbia: an analysis of administrative data","year":2022,"lang":"en","type":"article","venue":"Substance Abuse Treatment Prevention and Policy","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"British Columbia Centre for Disease Control; Ministry of Health, British Columbia","keywords":"(+)-Naloxone; Medicine; Logistic regression; Odds ratio; Confidence interval; Opioid overdose; Demography; Odds; Generalized estimating equation; Drug overdose; Emergency medicine; Poison control; Opioid; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001554523,0.0001800742,0.0006359846,0.0003051493,0.0001501359,0.00005257108,0.0001264281,0.00004782383,0.0004648468],"category_scores_gemma":[0.00001615152,0.0002078989,0.0001047949,0.001615781,0.00008224515,0.000237976,0.00002180565,0.00009844066,4.337172e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000591304,"about_ca_system_score_gemma":0.0002888085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01447014,"about_ca_topic_score_gemma":0.5171883,"domain_scores_codex":[0.9983094,0.0002236754,0.000367869,0.0005136067,0.00032457,0.000260927],"domain_scores_gemma":[0.9989116,0.00006592718,0.0002463953,0.0005889423,0.0000489653,0.0001382197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001205094,0.004568438,0.9824148,0.00001477239,0.002791606,0.00008380532,0.007931245,0.00003463544,0.00003329281,0.00002250609,0.00001887941,0.001965538],"study_design_scores_gemma":[0.005031351,0.002424903,0.9839789,0.00007989836,0.002062562,0.000004616614,0.005841509,0.0001868288,0.00002847918,0.00004812004,0.0001459753,0.0001668521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966361,0.0006222525,0.00001031445,0.00006894295,0.0000171686,0.0007719652,0.001727642,0.00004099351,0.0001046167],"genre_scores_gemma":[0.9894852,0.0006736841,0.00007516179,0.00003780723,0.00001025196,0.0001413977,0.007253256,0.00002313115,0.0023001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5027181,"threshold_uncertainty_score":0.9920926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0892148824036389,"score_gpt":0.3534695814924025,"score_spread":0.2642546990887636,"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."}}