{"id":"W2888723604","doi":"10.1007/s12024-018-0019-2","title":"The pitfalls of per se thresholds in accurately identifying acute cannabis intoxication at autopsy","year":2018,"lang":"en","type":"article","venue":"Forensic Science Medicine and Pathology","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Cannabis; Cannabinoid; Autopsy; Medicine; Abstinence; Poison control; Forensic toxicology; Driving under the influence; Alcohol intoxication; Injury prevention; Synthetic cannabinoids; Emergency medicine; Anesthesia; Psychiatry; Internal medicine; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001978035,0.0001209829,0.0002943378,0.0003303566,0.0003472877,0.00001695649,0.0002339877,0.00008128754,0.0001131984],"category_scores_gemma":[0.0005599281,0.00006899285,0.00003388229,0.0008341983,0.006581386,0.0001100805,0.0002027713,0.0001958573,0.00001138525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107157,"about_ca_system_score_gemma":0.0002877225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003362316,"about_ca_topic_score_gemma":0.001085008,"domain_scores_codex":[0.9982123,0.00005349896,0.0003574923,0.0003836499,0.0005311904,0.0004618432],"domain_scores_gemma":[0.9988164,0.00003198678,0.000112132,0.0004179413,0.0004513954,0.0001701917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006726304,0.00008799458,0.1020911,0.0001170263,0.00003405038,0.0002758891,0.03141329,7.831122e-7,0.7100394,0.005667944,0.06456777,0.08503216],"study_design_scores_gemma":[0.00249476,0.002853639,0.9087065,0.0002358865,0.00009044422,0.002130368,0.003543138,0.0007015083,0.04394281,0.002260397,0.03282182,0.0002186625],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665097,0.000745322,0.00004941049,0.02947076,0.0004139823,0.0002913326,0.000002916601,0.0000121606,0.002504435],"genre_scores_gemma":[0.9939221,0.0003743667,0.0001069778,0.0008317702,0.0002201066,0.00002717358,0.000005199678,0.000008442483,0.004503879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8066155,"threshold_uncertainty_score":0.9961221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0655706135198613,"score_gpt":0.3956573420117998,"score_spread":0.3300867284919385,"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."}}