{"id":"W4391850760","doi":"10.1016/j.jmsacl.2024.02.003","title":"Therapeutic drug monitoring of clozapine in human serum by high-throughput paper spray mass spectrometry","year":2024,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry and Advances in the Clinical Lab","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health; Simon Fraser University; University of Victoria; Vancouver Island University","funders":"Natural Sciences and Engineering Research Council of Canada; Vancouver Island University","keywords":"Chromatography; Therapeutic drug monitoring; Mass spectrometry; Analyte; Protein precipitation; Chemistry; Metabolite; Triple quadrupole mass spectrometer; Detection limit; Selected reaction monitoring; Tandem mass spectrometry; Pharmacokinetics; Pharmacology; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002486664,0.0003277023,0.0008694207,0.000430092,0.0000866511,0.0001014607,0.0008361242,0.0002145438,0.001227609],"category_scores_gemma":[0.0001713022,0.0002317027,0.0003078159,0.001441493,0.0002689928,0.0005569982,0.00008395127,0.001951632,0.00000286616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646027,"about_ca_system_score_gemma":0.00005269672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001145915,"about_ca_topic_score_gemma":0.000005784061,"domain_scores_codex":[0.9964529,0.0001904286,0.001855112,0.0004606161,0.0005819899,0.0004589501],"domain_scores_gemma":[0.9972069,0.001476127,0.0006341995,0.0005031807,0.0000631607,0.0001163857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003432162,0.001665186,0.1568734,0.001154207,0.0003761172,0.0003526415,0.0002577638,0.00004597502,0.7077917,0.1091695,0.001074228,0.02089594],"study_design_scores_gemma":[0.00412997,0.00165122,0.02898328,0.00226342,0.0003457344,0.0002816952,0.00227742,0.00007781979,0.3175632,0.5429928,0.09825489,0.001178491],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015077,0.07996827,0.002032005,0.005800403,0.0005991271,0.0002419379,0.00008400372,0.00008301622,0.009683503],"genre_scores_gemma":[0.9538587,0.03366137,0.01107136,0.0001099739,0.0008819984,0.00001243425,0.000004514345,0.00003911005,0.0003605386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4338233,"threshold_uncertainty_score":0.9996854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868511370540028,"score_gpt":0.3550468759952622,"score_spread":0.336361762289862,"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."}}