{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002007522,0.0006333553,0.0003278664,0.001486562,0.01408395,0.001650313,0.00164728,0.009212282,0.005481468],"category_scores_gemma":[0.01156601,0.0007375143,0.0002610419,0.0006596043,0.001359253,0.0008699773,0.003087121,0.007158839,0.001506843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004521719,"about_ca_system_score_gemma":0.008667558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05930967,"about_ca_topic_score_gemma":0.1692191,"domain_scores_codex":[0.9974183,0.0005436212,0.0002217726,0.0001948822,0.0005398312,0.001081699],"domain_scores_gemma":[0.9934844,0.0009460556,0.0007559972,0.0001553388,0.002427783,0.002230473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003714409,0.00112037,0.07260436,0.0006334221,0.00006299587,0.07531618,0.06679955,0.0007325034,0.008001519,0.00213165,0.660922,0.1113039],"study_design_scores_gemma":[0.0001522002,0.001615013,0.1162208,0.0009483411,0.00008611212,0.01601689,0.2949913,0.002493792,0.00307934,0.001261397,0.5628167,0.0003181823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5818287,0.002979513,0.002182881,0.3562515,0.01173297,0.001793607,0.00040767,0.0004869751,0.04233615],"genre_scores_gemma":[0.7078124,0.003760231,0.003183332,0.2118324,0.004070324,0.0004771356,0.0003155948,0.0001043423,0.06844427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05930967,"threshold_uncertainty_score":0.1179289,"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."}}