{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00246883,0.0002431321,0.0008414224,0.00125574,0.00009716527,0.00002044041,0.0002248834,0.0004926317,0.0002180239],"category_scores_gemma":[0.002746518,0.0002580514,0.0000856862,0.001391934,0.0002053283,0.0002578443,0.00008397761,0.001208273,0.000004014928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259752,"about_ca_system_score_gemma":0.002554716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01986258,"about_ca_topic_score_gemma":0.9727004,"domain_scores_codex":[0.9956021,0.001734711,0.001503294,0.0004236599,0.000248933,0.0004873234],"domain_scores_gemma":[0.9964257,0.002127745,0.0004061908,0.0001952496,0.0004462632,0.0003987962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02941351,0.003008187,0.3955241,0.000108135,0.0008817903,0.004706441,0.01451389,0.1649493,0.3584799,0.004365681,0.01120644,0.01284264],"study_design_scores_gemma":[0.01474464,0.007840579,0.7634975,0.0008256672,0.00113797,0.0009679099,0.01568716,0.1287913,0.03508477,0.02000238,0.009742106,0.00167799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951418,0.0002360761,0.0008472772,0.002580022,0.0007907865,0.0002284918,0.00002802778,0.000005317394,0.0001421811],"genre_scores_gemma":[0.9953789,0.00002850409,0.001818896,0.002621596,0.000037266,0.00001526167,0.000006375769,0.00001538546,0.00007787155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9528378,"threshold_uncertainty_score":0.9999872,"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."}}