{"id":"W3201828807","doi":"10.1093/jat/bkab106","title":"Etizolam Blood Concentrations in 191 Forensic Cases in Ontario, Canada (2019–2020)","year":2021,"lang":"en","type":"article","venue":"Journal of Analytical Toxicology","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forensic toxicology; Forensic science; Medicine; Sexual assault; Drug; Benzodiazepine; Psychiatry; Pharmacology; Poison control; Emergency medicine; Internal medicine; Injury prevention; Chemistry; Veterinary medicine; Chromatography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001885395,0.0003466004,0.0002082509,0.001569819,0.002321993,0.0006794267,0.0005676843,0.0004942644,0.001183141],"category_scores_gemma":[0.0008506009,0.0004060837,0.0001860983,0.001965304,0.000909818,0.0002066046,0.0005629247,0.0004485716,0.0003192082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01105058,"about_ca_system_score_gemma":0.005220343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9027601,"about_ca_topic_score_gemma":0.9423636,"domain_scores_codex":[0.9994661,0.00001799592,0.00003278753,0.00006429374,0.0002851365,0.0001337339],"domain_scores_gemma":[0.9994,0.00003163859,0.0001463249,0.00001819817,0.0003196762,0.00008425001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001069445,0.00003616829,0.9846689,0.00003640589,0.00002627064,0.004139919,0.001028997,0.0001277645,0.002832594,0.00006657584,0.0009174582,0.006012094],"study_design_scores_gemma":[0.000003899442,0.00004874583,0.9945641,0.00001108499,0.00001428067,0.00207042,0.0008189931,0.0001359672,0.0005620663,0.00001621189,0.001746164,0.000008047187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936786,0.0004894477,0.0001308869,0.0001235212,0.00001005234,0.00003870825,0.001404617,0.0000132312,0.004110842],"genre_scores_gemma":[0.996705,0.0005951048,0.0002169174,0.0001133392,0.00000980092,0.000008841838,0.0009692772,0.000005074081,0.00137671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09723985,"threshold_uncertainty_score":0.195625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05164209646353059,"score_gpt":0.3662596633941627,"score_spread":0.3146175669306321,"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."}}