{"id":"W2033576605","doi":"10.1007/s00216-014-7913-6","title":"A validated assay to quantitate serotonin in lamb plasma using ultrahigh-performance liquid chromatography-tandem mass spectrometry: applications with LC/MS3","year":2014,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Chromatography; Chemistry; Mass spectrometry; Tandem mass spectrometry; Triple quadrupole mass spectrometer; Detection limit; Quadrupole ion trap; Liquid chromatography–mass spectrometry; Selected reaction monitoring; Ion trap; Analytical Chemistry (journal)","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009994383,0.0004296781,0.0007358785,0.0002726122,0.0002599629,0.00005389048,0.0003200818,0.0005817268,0.0006300884],"category_scores_gemma":[0.0001423448,0.0003489746,0.0001569101,0.001918408,0.000820032,0.0001040764,0.00008869726,0.000985299,0.00007658309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008949009,"about_ca_system_score_gemma":0.00008450499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002251841,"about_ca_topic_score_gemma":0.00004000917,"domain_scores_codex":[0.9972446,0.0002006848,0.0006084669,0.0008068815,0.0002941523,0.0008452361],"domain_scores_gemma":[0.9981583,0.0005349973,0.0001235009,0.0003615174,0.0001143246,0.0007073675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00572609,0.002989699,0.4272096,0.001021198,0.004370306,0.0003467812,0.0002827299,0.008711527,0.5280006,0.01679706,0.0009051709,0.003639251],"study_design_scores_gemma":[0.003977763,0.001021165,0.005910402,0.0001424741,0.002252069,0.0002075448,0.0002708707,0.5502247,0.4199505,0.0006421893,0.0138133,0.001587075],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864389,0.00006137006,0.005226519,0.001362302,0.00003520313,0.0003061037,0.00003138845,0.0001008953,0.006437328],"genre_scores_gemma":[0.9961783,0.00006590204,0.002182242,0.0008108176,0.0001549703,0.00005152465,0.00004277198,0.00002850126,0.0004849917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5415131,"threshold_uncertainty_score":0.9998962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03913650241750576,"score_gpt":0.3488190373174904,"score_spread":0.3096825348999846,"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."}}