{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001052677,0.0002596688,0.0003512102,0.0002167252,0.000752356,0.00005419528,0.0002576613,0.00009600778,0.008543819],"category_scores_gemma":[0.0000154133,0.0002797956,0.00006841444,0.0004501319,0.00007489511,0.0003278433,0.00008255659,0.001355056,0.000004892859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002408731,"about_ca_system_score_gemma":0.0008171923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5582527,"about_ca_topic_score_gemma":0.9880645,"domain_scores_codex":[0.9972577,0.0007626727,0.0006702943,0.000441486,0.0003522387,0.0005155742],"domain_scores_gemma":[0.999045,0.00008414531,0.0003139054,0.0001397676,0.00009157162,0.0003255829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01268387,0.002239863,0.5268734,0.0001671449,0.001335444,0.001706273,0.1999417,0.0211421,0.04528499,0.0006212514,0.1381269,0.04987711],"study_design_scores_gemma":[0.006617392,0.0002653867,0.6968439,0.00008603382,0.0004323235,0.001085884,0.1837494,0.0007944505,0.01894754,0.0006733013,0.08941156,0.001092898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917591,0.001749579,0.00000361009,0.002699299,0.002977492,0.0002941281,0.0000375901,0.00002368796,0.0004555386],"genre_scores_gemma":[0.9960194,0.0003096586,0.0001537295,0.0007319473,0.0002566402,0.00005695394,0.0000506078,0.00001604169,0.002405081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4298118,"threshold_uncertainty_score":0.9999654,"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."}}