{"id":"W1996763480","doi":"10.4236/ajac.2010.12007","title":"A Validated Enantioselective Assay for the Determination of Ibuprofen in Human Plasma Using Ultra Performance Liquid Chromatography with Tandem Mass Spectrometry (UPLC-MS/MS)","year":2010,"lang":"en","type":"article","venue":"American Journal of Analytical Chemistry","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; University of Waterloo; University of British Columbia","funders":"","keywords":"Chromatography; Chemistry; Flurbiprofen; Detection limit; Selected reaction monitoring; Ibuprofen; Tandem mass spectrometry; Mass spectrometry; Liquid chromatography–mass spectrometry; Resolution (logic); High-performance liquid chromatography; Calibration curve; Extraction (chemistry)","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":[0.003372191,0.002376001,0.002101199,0.001882571,0.0009163434,0.0009376241,0.001676856,0.002302107,0.00114461],"category_scores_gemma":[0.003162396,0.0009900045,0.001338582,0.001052209,0.0009754075,0.0006762068,0.001034902,0.001735933,0.001168883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008933044,"about_ca_system_score_gemma":0.002074507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042245,"about_ca_topic_score_gemma":0.003999127,"domain_scores_codex":[0.9927034,0.001772581,0.0005160044,0.001407543,0.00328363,0.0003167481],"domain_scores_gemma":[0.9983971,0.0002523528,0.0004155631,0.0001647058,0.0006313662,0.0001388963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009792416,0.0002995481,0.003573866,0.0004762833,0.0003007001,0.0004322036,0.00008617972,0.0004498759,0.9613696,0.0002541538,0.0005233055,0.03125498],"study_design_scores_gemma":[0.0004743953,0.002596319,0.024226,0.0001671793,0.0005442923,0.007935438,0.00007987774,0.01120204,0.9410608,0.000269277,0.01125495,0.0001892821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.517416,0.04359291,0.4166579,0.0009859896,0.001261119,0.003772207,0.00500312,0.004739814,0.006570986],"genre_scores_gemma":[0.5665256,0.01603942,0.395854,0.002899579,0.0006578229,0.004101693,0.005228932,0.0003007017,0.008392231],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003372191,"threshold_uncertainty_score":0.01783407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008658436746248555,"score_gpt":0.2556313775717455,"score_spread":0.2469729408254969,"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."}}