{"id":"W2087146844","doi":"10.1016/j.jchromb.2010.12.029","title":"A rapid and accurate UPLC/MS/MS method for the determination of benzodiazepines in human urine","year":2011,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Surrey Memorial Hospital","funders":"","keywords":"Chromatography; Chemistry; Formic acid; Protein precipitation; Detection limit; Selected reaction monitoring; Electrospray ionization; Mass spectrometry; Tandem mass spectrometry; Urine; High-performance liquid chromatography; Methanol; Electrospray","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":[0.001976048,0.0001519786,0.0004361874,0.0005218059,0.0001526725,0.000007670757,0.0002387806,0.0002861068,0.0003614868],"category_scores_gemma":[0.0001142037,0.0001043819,0.0003098028,0.000383288,0.0003239565,0.0001552989,0.00003408468,0.0005145383,5.551324e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001038827,"about_ca_system_score_gemma":0.00003793499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002634604,"about_ca_topic_score_gemma":0.00009987711,"domain_scores_codex":[0.9984782,0.0003664671,0.0007036923,0.0001289367,0.0001057541,0.0002170004],"domain_scores_gemma":[0.9980663,0.0008014847,0.0007272237,0.0001234533,0.0001916192,0.00008989294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006504182,0.00420626,0.3455355,0.001017327,0.006468443,0.000309498,0.02220301,0.0003917031,0.2043803,0.0196079,0.01401731,0.3753586],"study_design_scores_gemma":[0.0168258,0.003627344,0.4900078,0.0002230746,0.004840916,0.0009342025,0.001721064,0.01921498,0.3860406,0.03816774,0.03752946,0.0008669524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859217,0.004012846,0.007422583,0.0007232474,0.0005144551,0.0003445429,0.00002346826,0.00001219304,0.001024924],"genre_scores_gemma":[0.9915172,0.0007255187,0.007168828,0.0004143219,0.0001199339,0.00001745492,0.000002227111,0.00001137098,0.000023173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3744916,"threshold_uncertainty_score":0.4256572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0985019074995519,"score_gpt":0.4212247063113093,"score_spread":0.3227227988117574,"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."}}