{"id":"W4206402035","doi":"10.1186/s12954-021-00585-2","title":"Diverse psychotropic substances detected in drug and drug administration equipment samples submitted to drug checking services in Toronto, Ontario, Canada, October 2019–April 2020","year":2022,"lang":"en","type":"article","venue":"Harm Reduction Journal","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Centre for Addiction and Mental Health; University of Toronto; Toronto Public Health; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Health Canada; Ontario Ministry of Research, Innovation and Science; St. Michael's Hospital Foundation","keywords":"Medicine; Drug; Drug overdose; Synthetic cannabinoids; Pharmacology; Benzodiazepine; Harm reduction; Emergency medicine; Public health; Medical emergency; Poison control; Cannabinoid","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007596369,0.0006292537,0.0002802406,0.002507078,0.002770684,0.001355378,0.001020558,0.0004629646,0.003522974],"category_scores_gemma":[0.001771204,0.0004381366,0.0003207459,0.003517218,0.001404305,0.0002653826,0.001028889,0.0004510607,0.0006359142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02124502,"about_ca_system_score_gemma":0.0211525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9657989,"about_ca_topic_score_gemma":0.9868285,"domain_scores_codex":[0.9979386,0.0001104471,0.0001441914,0.000246648,0.001193089,0.0003670904],"domain_scores_gemma":[0.996905,0.0001593777,0.0007766647,0.00006517903,0.001667155,0.0004265604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005513429,0.00007851007,0.938602,0.0006911558,0.0001240707,0.00185446,0.005964756,0.0003005832,0.01486902,0.0002588208,0.01278643,0.02391879],"study_design_scores_gemma":[0.000006689555,0.00006135114,0.9897132,0.00006582569,0.00002391632,0.0002454247,0.002149177,0.0001541809,0.001084976,0.0000109802,0.006469283,0.00001508918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431227,0.004209047,0.0009697084,0.001506425,0.0001179215,0.0006269162,0.03159067,0.0001644683,0.01769216],"genre_scores_gemma":[0.9721267,0.002798016,0.001668332,0.001259009,0.00006793525,0.0001550635,0.009916169,0.00003918991,0.01196952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03420115,"threshold_uncertainty_score":0.1541442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103349861025413,"score_gpt":0.3406153833611156,"score_spread":0.3095818847508615,"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."}}