{"id":"W2325429075","doi":"10.1021/pr500317d","title":"Multiplexed MRM with Internal Standards for Cerebrospinal Fluid Candidate Protein Biomarker Quantitation","year":2014,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"","keywords":"Biomarker discovery; Cerebrospinal fluid; Biomarker; Quantitative proteomics; Peptide; Chromatography; Apolipoprotein B; Albumin; Selected reaction monitoring; Chemistry; Proteomics; Computational biology; Biology; Mass spectrometry; Biochemistry; Tandem mass spectrometry; Medicine; Cholesterol; Pathology","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":[0.00820306,0.002381011,0.001357357,0.00274407,0.0009108749,0.001939856,0.001529663,0.001980308,0.00134299],"category_scores_gemma":[0.00707921,0.001000114,0.000952852,0.001733062,0.001461012,0.001301916,0.001511592,0.002605439,0.001636011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008671568,"about_ca_system_score_gemma":0.00149939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004792934,"about_ca_topic_score_gemma":0.001054354,"domain_scores_codex":[0.9906069,0.002396541,0.000559609,0.002570471,0.003528929,0.0003375581],"domain_scores_gemma":[0.9974285,0.0008040476,0.0004537022,0.0004709745,0.0007095675,0.0001331132],"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":[0.0001739307,0.0001390508,0.0008336012,0.0001986177,0.00006180181,0.00008717739,0.0001284247,0.0005221861,0.9733971,0.001045445,0.0005176587,0.02289483],"study_design_scores_gemma":[0.00002451436,0.0004238704,0.001142228,0.00003754267,0.00005945874,0.0003269894,0.00003710365,0.006492201,0.9850445,0.0006574664,0.005708728,0.0000453552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09192448,0.004132841,0.896368,0.0003704536,0.0004071849,0.0009906462,0.0006736288,0.002891967,0.002240838],"genre_scores_gemma":[0.1161628,0.002350181,0.876061,0.000470872,0.0001074735,0.001585747,0.0007713509,0.0002487356,0.002241933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00820306,"threshold_uncertainty_score":0.04338247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04889087324074291,"score_gpt":0.406964083029326,"score_spread":0.3580732097885831,"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."}}