{"id":"W2771979038","doi":"10.1016/j.jpba.2017.12.002","title":"HPLC–MS/MS analysis of mesupron and its application to a pharmacokinetic study in rats","year":2017,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Ministry of Trade, Industry and Energy","keywords":"Chemistry; Chromatography; Protein precipitation; Pharmacokinetics; Bioanalysis; Selected reaction monitoring; Tandem mass spectrometry; High-performance liquid chromatography; Formic acid; Acetonitrile; Analyte; Mass spectrometry; Pharmacology","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":[0.0008147438,0.0001724728,0.001115546,0.001491345,0.0000837602,0.00002391602,0.0001754755,0.00008049551,0.0005042275],"category_scores_gemma":[0.00009213791,0.0001174036,0.000299558,0.001618632,0.0002130444,0.00009226699,0.0001112182,0.0002791453,0.000002026171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005662729,"about_ca_system_score_gemma":0.00005417194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001395768,"about_ca_topic_score_gemma":0.0001000824,"domain_scores_codex":[0.9980886,0.0001112958,0.000768846,0.0002860336,0.0005153932,0.0002298474],"domain_scores_gemma":[0.9984989,0.0001254096,0.0003764239,0.0001686787,0.0001812972,0.0006493213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003193004,0.005458395,0.7305919,0.0001485062,0.02830696,0.0003852186,0.001010166,0.00005805388,0.1537352,0.00002540993,0.0002499779,0.07683726],"study_design_scores_gemma":[0.006759796,0.00164343,0.87444,0.00003367325,0.07336691,0.00003149428,0.0001283716,0.03409722,0.0056322,0.00002581336,0.003672695,0.0001684479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925168,0.001049847,0.0002350805,0.005639474,0.0000621186,0.0003675138,0.00001829564,0.000004325297,0.0001065852],"genre_scores_gemma":[0.9983017,0.0009124283,0.0001070885,0.0003582064,0.0001743711,0.0000152833,0.000009082783,0.000006361323,0.0001154218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.148103,"threshold_uncertainty_score":0.5520937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355072442007977,"score_gpt":0.4386080671978358,"score_spread":0.3950573427777561,"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."}}