{"id":"W2050349526","doi":"10.1016/s0378-4347(00)00325-x","title":"Liquid chromatographic method for the simultaneous determination of caffeine and fourteen caffeine metabolites in urine","year":2000,"lang":"en","type":"article","venue":"Journal of Chromatography B Biomedical Sciences and Applications","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Chromatography; Caffeine; Chemistry; Urine; CYP1A2; Extraction (chemistry); High-performance liquid chromatography; Xanthine oxidase; Acetic acid; Enzyme; Cytochrome P450; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001869664,0.0001403847,0.0003354857,0.000370757,0.0002766588,0.00002409933,0.0003244469,0.0001154372,0.0001247406],"category_scores_gemma":[0.00005699746,0.00008861841,0.0001284933,0.001060391,0.001090075,0.00008927713,0.00003480069,0.0002159804,3.717777e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004572041,"about_ca_system_score_gemma":0.00006080884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002719591,"about_ca_topic_score_gemma":0.000009359838,"domain_scores_codex":[0.9985439,0.000147581,0.0006066367,0.0001936992,0.0002568592,0.0002513638],"domain_scores_gemma":[0.9977772,0.00149162,0.0003083696,0.00008912111,0.0001096766,0.0002239837],"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":[0.000257936,0.000672041,0.002579388,0.0001321323,0.000171902,0.000007632457,0.0004687364,0.0002314213,0.1479387,0.003242914,0.0001622675,0.844135],"study_design_scores_gemma":[0.006050177,0.00168973,0.01357626,0.0000904172,0.001132849,0.0005022638,0.0004221868,0.1083464,0.03486677,0.01011673,0.8227165,0.0004897024],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549904,0.02224179,0.01857064,0.003092904,0.0001407593,0.000703444,0.00008689173,0.00001128692,0.0001618565],"genre_scores_gemma":[0.9749575,0.01406271,0.01031,0.0003416192,0.0002348733,0.00007101738,0.000003218903,0.000007413153,0.00001168279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8436453,"threshold_uncertainty_score":0.4016426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03883107944693256,"score_gpt":0.4165151362868271,"score_spread":0.3776840568398946,"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."}}