{"id":"W2047017658","doi":"10.1097/fpc.0b013e32832a404f","title":"Genetic and environmental influences on the ratio of 3′hydroxycotinine to cotinine in plasma and urine","year":2009,"lang":"en","type":"article","venue":"Pharmacogenetics and Genomics","topic":"Nicotinic Acetylcholine Receptors Study","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Center for Research Resources; National Institute on Drug Abuse","keywords":"Cotinine; Urine; Plasma concentration; Pharmacogenetics; Chemistry; Chromatography; Biology; Medicine; Pharmacology; Internal medicine; Genetics; Biochemistry; Genotype","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":[0.000883574,0.0003462521,0.0003276946,0.0005945403,0.0002359659,0.0003840782,0.0002196221,0.0002511937,0.001026163],"category_scores_gemma":[0.003534107,0.0002810334,0.00034999,0.0005038528,0.0004081855,0.0001512212,0.0002868631,0.0002702381,0.0001332514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001577971,"about_ca_system_score_gemma":0.000151701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003145128,"about_ca_topic_score_gemma":0.002456276,"domain_scores_codex":[0.998652,0.0005270323,0.00008113756,0.0004021552,0.0002688531,0.00006883594],"domain_scores_gemma":[0.9983032,0.0006874125,0.0005139313,0.0002009239,0.0001552348,0.0001393737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008983244,0.00007264838,0.9737519,0.00002209007,0.0004598956,0.0003044482,0.000219039,0.0002176325,0.01909941,0.00009640845,0.00004692187,0.004811274],"study_design_scores_gemma":[0.000003801091,0.0001005288,0.9985196,0.000001906608,0.00005605183,0.0003442036,0.00002952814,0.0002827009,0.0005952126,0.00002209964,0.00004186737,0.000002538102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990631,0.0001739367,0.0004715121,0.00000915678,0.000003558667,0.00000671042,0.0001053023,0.000003809789,0.0001628913],"genre_scores_gemma":[0.9993209,0.00006346346,0.0003918045,0.000004439111,0.000003351542,0.000005465356,0.00009146734,0.000003616296,0.0001155638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003145128,"threshold_uncertainty_score":0.00625366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008232799267443911,"score_gpt":0.2503965957572004,"score_spread":0.2421637964897564,"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."}}