{"id":"W4224929201","doi":"10.1016/j.jpba.2022.114801","title":"CFTR protein quantification as a cystic fibrosis diagnostic biomarker in dried blood spots using multiple reaction monitoring tandem mass spectrometry","year":2022,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Chemistry; Cystic fibrosis; Cystic fibrosis transmembrane conductance regulator; Selected reaction monitoring; Biomarker; Dried blood spot; Chromatography; Tandem mass spectrometry; Biomarker discovery; Mass spectrometry; Proteomics; Biochemistry; Internal medicine","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":[0.001718521,0.00103517,0.0007542853,0.002059505,0.0008107214,0.000947814,0.0006241564,0.002288857,0.0006070281],"category_scores_gemma":[0.002581385,0.0004857155,0.0005522259,0.0009366299,0.0008617768,0.0005734636,0.0004962367,0.001240886,0.0006370762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003991711,"about_ca_system_score_gemma":0.0007256074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008675022,"about_ca_topic_score_gemma":0.00167188,"domain_scores_codex":[0.9973269,0.000668484,0.0001076101,0.0007657229,0.001015303,0.0001160441],"domain_scores_gemma":[0.9989815,0.0003609401,0.0002207972,0.00005889635,0.0002902183,0.00008764825],"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":[0.0006504288,0.000259907,0.01028517,0.000281007,0.0001769286,0.0003881528,0.0001811605,0.000300176,0.9674755,0.0003210679,0.0008490326,0.01883139],"study_design_scores_gemma":[0.00006655529,0.001125307,0.03459891,0.00009862668,0.0003034883,0.004637999,0.0001744689,0.01734493,0.9364559,0.000609277,0.004474586,0.0001099572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8217335,0.02421657,0.1392759,0.001809257,0.001483516,0.0005640158,0.002390265,0.002539818,0.005987255],"genre_scores_gemma":[0.8800556,0.004220358,0.1062336,0.00300284,0.0003940446,0.000491836,0.0009178254,0.0001153264,0.004568499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002288857,"threshold_uncertainty_score":0.009088516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04469500817315233,"score_gpt":0.3737931782566405,"score_spread":0.3290981700834882,"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."}}