{"id":"W1979995079","doi":"10.1016/j.jchromb.2008.10.055","title":"Determination of intact oxaliplatin in human plasma using high performance liquid chromatography-tandem mass spectrometry","year":2008,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute","keywords":"Chemistry; Chromatography; Tandem mass spectrometry; Liquid chromatography–mass spectrometry; Mass spectrometry; Oxaliplatin; High-performance liquid chromatography; Human plasma","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":[0.0002646292,0.0002121915,0.0007057639,0.00189284,0.00009216688,0.000007014004,0.0001303919,0.0001347114,0.0001815333],"category_scores_gemma":[0.00001144615,0.0001863618,0.0003521678,0.001207693,0.0001741542,0.0002701045,0.00001681737,0.000335254,8.640222e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346946,"about_ca_system_score_gemma":0.0001512591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004269467,"about_ca_topic_score_gemma":0.000008533846,"domain_scores_codex":[0.998174,0.00006704988,0.0008915934,0.0001553393,0.0004378053,0.0002741734],"domain_scores_gemma":[0.998686,0.00006745436,0.0008021183,0.0001500959,0.0001642789,0.0001301213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006734679,0.0005188198,0.5276049,0.0001553259,0.0002190294,0.0003662766,0.0003540683,0.0000270542,0.4697283,0.00002389217,0.00008411791,0.0002446691],"study_design_scores_gemma":[0.007551959,0.005409174,0.6259238,0.0006122369,0.0003360311,0.002960501,0.00008978422,0.0004693228,0.3562736,0.00007869834,0.00008179774,0.0002131152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982872,0.0005024313,0.000169192,0.00004722904,0.0002543579,0.0001985408,0.0000042075,0.00001612599,0.0005207325],"genre_scores_gemma":[0.9927506,0.0006640453,0.00627632,0.00003731444,0.0002282655,0.000003241522,0.000005599743,0.00002489851,0.000009756202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1134547,"threshold_uncertainty_score":0.7599614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368718077152708,"score_gpt":0.3019437565608277,"score_spread":0.2782565757893006,"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."}}