{"id":"W838677071","doi":"","title":"THE DRUG RECOGNITION EXPERT POLICE OFFICER: A RESPONSE TO DRUG-IMPAIRED DRIVING","year":2000,"lang":"en","type":"article","venue":"Proceedings International Council on Alcohol, Drugs and Traffic Safety Conference","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Drug; Cannabis; Law enforcement; Medicine; MDMA; Officer; Hallucinogen; Heroin; Psychiatry; Designer drug; Psychology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003631949,0.0004068537,0.0003501096,0.0001636934,0.00108888,0.0002122321,0.0006279073,0.0002374033,0.002073026],"category_scores_gemma":[0.0005817054,0.0003330116,0.0001601271,0.00036853,0.0004446176,0.0002774333,0.0000967861,0.0008107239,0.0005789869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000540007,"about_ca_system_score_gemma":0.0004286315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001189673,"about_ca_topic_score_gemma":0.0003522701,"domain_scores_codex":[0.9969657,0.0002047441,0.0006208934,0.0007314289,0.0008711674,0.0006060614],"domain_scores_gemma":[0.9967975,0.001262357,0.0002028731,0.0001673732,0.001182951,0.0003869444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02961289,0.0007818277,0.000545705,0.00002888652,0.0010863,0.00002009272,0.04960831,0.001029268,0.004346595,0.005987381,0.0845468,0.8224059],"study_design_scores_gemma":[0.003308434,0.0002358511,0.002860491,0.0001433874,0.0001670251,0.00006994527,0.00493613,0.01837679,0.002145085,0.0004812405,0.9665552,0.0007204525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9212252,0.0002069509,0.000007277085,0.02746071,0.0008292918,0.0004229407,0.00007048649,0.0002115168,0.04956564],"genre_scores_gemma":[0.9762843,0.00179834,0.0001153691,0.006842592,0.000375041,0.0001303738,0.00002236278,0.00003112056,0.01440055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8820084,"threshold_uncertainty_score":0.9999122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030630408316255,"score_gpt":0.3606638830667602,"score_spread":0.2576008422351347,"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."}}