{"id":"W3133653696","doi":"10.1097/fpc.0000000000000427","title":"Effect of race and glucuronidation rates on the relationship between nicotine metabolite ratio and nicotine clearance","year":2021,"lang":"en","type":"article","venue":"Pharmacogenetics and Genomics","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute on Drug Abuse; Canadian Institutes of Health Research","keywords":"Cotinine; Nicotine; Glucuronidation; Metabolite; Chemistry; Pharmacology; Internal medicine; Medicine; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002696492,0.0003476559,0.0004099311,0.0002999482,0.0001674039,0.00056821,0.0002921662,0.0004214807,0.002655926],"category_scores_gemma":[0.008469291,0.0002657923,0.0005730055,0.0002895893,0.0003243991,0.000364571,0.0002542713,0.0004163931,0.0005879948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001393464,"about_ca_system_score_gemma":0.0002687669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001836182,"about_ca_topic_score_gemma":0.001267182,"domain_scores_codex":[0.9982523,0.0009651891,0.00008244999,0.0003708778,0.0002080312,0.0001210912],"domain_scores_gemma":[0.9917608,0.004701588,0.001679759,0.0008968963,0.0005188838,0.0004420186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005217234,0.0001398951,0.975234,0.0000302693,0.0005201467,0.000107605,0.0001615707,0.0001899651,0.008955115,0.00009374986,0.0001275232,0.0092229],"study_design_scores_gemma":[0.00001662357,0.0006585707,0.9960913,0.000008409374,0.0001971619,0.0002119699,0.00003999324,0.0007582532,0.001642022,0.00005843021,0.0003112721,0.000005968037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967645,0.0006774042,0.0009728668,0.00008199699,0.00002133574,0.00001863284,0.0002427879,0.00002534227,0.001195026],"genre_scores_gemma":[0.9983472,0.0001287718,0.0006637392,0.00003269692,0.00001514858,0.00001632273,0.0001440808,0.00002314507,0.0006289782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002696492,"threshold_uncertainty_score":0.01426065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06614024801999263,"score_gpt":0.4023152724139268,"score_spread":0.3361750243939342,"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."}}