{"id":"W2411315353","doi":"","title":"Cocaethylene as a biomarker to predict heavy alcohol exposure among cocaine users.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Prenatal Substance Exposure Effects","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Biomarker; Alcohol; Metabolite; Alcohol consumption; Ethanol; Medicine; Internal medicine; Physiology; Chemistry; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007224208,0.0004283711,0.0003048324,0.001366281,0.0002409411,0.0005036497,0.0002969928,0.0006591659,0.001365856],"category_scores_gemma":[0.00238469,0.0001996804,0.0002505037,0.0008447724,0.0002922843,0.0003526576,0.0002946061,0.0005173847,0.0003535097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002928422,"about_ca_system_score_gemma":0.0003524181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002241533,"about_ca_topic_score_gemma":0.002564941,"domain_scores_codex":[0.9995382,0.0001301869,0.00004765662,0.00008251699,0.0001532202,0.0000482148],"domain_scores_gemma":[0.9984733,0.0004474814,0.000475347,0.00005526643,0.000337705,0.0002108549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000245813,0.00005264055,0.9878148,0.00003674542,0.00004764362,0.0001507755,0.00003057073,0.00009738484,0.005658354,0.00001844105,0.0001114267,0.005735502],"study_design_scores_gemma":[0.00001358489,0.0006167068,0.986241,0.00003698191,0.0001092455,0.002348629,0.0001555011,0.003913914,0.005670974,0.00009816259,0.0007845024,0.00001068918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933775,0.00303779,0.00139413,0.0002067728,0.00003398889,0.00007944388,0.0004601134,0.00005307874,0.001357212],"genre_scores_gemma":[0.9972481,0.0003899144,0.001823543,0.00005603494,0.00001503734,0.00001702001,0.0001514534,0.000004220542,0.0002947155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002241533,"threshold_uncertainty_score":0.004569292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02487200571021008,"score_gpt":0.2558100666923593,"score_spread":0.2309380609821492,"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."}}