{"id":"W3173883855","doi":"10.1093/jat/bkab079","title":"Strategic Decision-Making by a Forensic Toxicology Laboratory in Response to an Emerging NPS: Detection, Quantitation and Interpretation of Carfentanil in Death Investigations in Ontario, Canada, July 2017 to June 2018","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":"University of Toronto; Health Sciences Centre","funders":"","keywords":"Forensic toxicology; Medicine; Forensic science; Clinical toxicology; Driving under the influence; Toxicology; Emergency medicine; Poison control; Chromatography; Chemistry; Injury prevention; Biology; Veterinary medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003123494,0.0004618801,0.0002825325,0.001586088,0.006294106,0.002455146,0.001596674,0.0008994104,0.001871928],"category_scores_gemma":[0.007014445,0.0005298043,0.0003229897,0.00128809,0.00237881,0.0006519855,0.002573216,0.001134668,0.0003441761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08622563,"about_ca_system_score_gemma":0.09857965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9627248,"about_ca_topic_score_gemma":0.9874846,"domain_scores_codex":[0.9951051,0.0008615231,0.0004201448,0.000390485,0.0019249,0.001297729],"domain_scores_gemma":[0.9929137,0.0006944169,0.0009937702,0.0001384698,0.004143167,0.001116552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006930636,0.0001866148,0.7752255,0.0004579268,0.0001086601,0.02553964,0.03240054,0.001962031,0.008819941,0.002852703,0.03165909,0.1200943],"study_design_scores_gemma":[0.00007625081,0.0003261228,0.7170176,0.0009809785,0.0001294964,0.006962578,0.1551402,0.005241686,0.00646356,0.001708374,0.1057454,0.0002078413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9234583,0.005728165,0.003473509,0.02999503,0.0002838427,0.0008898219,0.001574129,0.0001824242,0.03441488],"genre_scores_gemma":[0.9792949,0.003838923,0.004647426,0.002779099,0.00008101406,0.00007665014,0.0006137049,0.0000377582,0.008630389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08622563,"threshold_uncertainty_score":0.6256137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06391973959744168,"score_gpt":0.4052098766289136,"score_spread":0.3412901370314719,"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."}}