{"id":"W3162705911","doi":"10.1186/s12954-021-00514-3","title":"Is expected substance type associated with timing of drug checking service utilization?: A cross-sectional study","year":2021,"lang":"en","type":"article","venue":"Harm Reduction Journal","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; British Columbia Centre on Substance Use; University of British Columbia","funders":"University of British Columbia; Michael Smith Health Research BC","keywords":"Stimulant; Medicine; Cross-sectional study; Harm reduction; Drug; Odds; Odds ratio; Environmental health; Consumption (sociology); Substance abuse; Psychiatry; Public health; Logistic regression; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001010298,0.0001993858,0.0003292258,0.0001924257,0.0007317202,0.00006655882,0.000163482,0.0002313984,0.006731466],"category_scores_gemma":[0.0001891686,0.0001886127,0.0001174944,0.001453436,0.0001785829,0.0002897384,0.00003003951,0.001038003,0.00002846374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580824,"about_ca_system_score_gemma":0.0003686029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001034005,"about_ca_topic_score_gemma":0.00003464974,"domain_scores_codex":[0.9976553,0.000682747,0.0006389199,0.000340746,0.0003620561,0.0003202878],"domain_scores_gemma":[0.9969512,0.0001375462,0.0005786315,0.000167448,0.00199601,0.0001691373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001976689,0.003243303,0.885537,0.00004796397,0.004143184,0.0003115392,0.04198594,0.01396536,0.04232692,0.0001438924,0.005444332,0.0008738303],"study_design_scores_gemma":[0.008626465,0.0004289034,0.7753069,0.0001107699,0.001439691,0.002501675,0.03001104,0.00608291,0.1715853,0.0005298586,0.002648617,0.0007278773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961356,0.00047706,0.0001667484,0.0004638693,0.001795628,0.0001364001,0.00001821993,0.00005452787,0.0007519349],"genre_scores_gemma":[0.9966381,0.00009175233,0.0001759727,0.0004356978,0.0003383843,0.000007934313,0.00004269601,0.00002347697,0.002245947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1292584,"threshold_uncertainty_score":0.9941765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1956880730846185,"score_gpt":0.4489073682505596,"score_spread":0.2532192951659411,"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."}}