{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002871662,0.0001529689,0.0002663223,0.0002417655,0.0002658203,0.0001227336,0.0004443909,0.0001107852,0.0001604927],"category_scores_gemma":[0.000674357,0.000114211,0.0001081295,0.0002541338,0.0001748362,0.0002368146,0.00007263879,0.0006116688,0.000003641152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003330356,"about_ca_system_score_gemma":0.0004022871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005188764,"about_ca_topic_score_gemma":0.00001617692,"domain_scores_codex":[0.997734,0.0000724739,0.0005177829,0.0002373709,0.001015483,0.0004229632],"domain_scores_gemma":[0.9968041,0.000140526,0.0003888735,0.0003023058,0.002189683,0.0001745715],"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":[0.002021246,0.00009327365,0.0003331036,0.000294059,0.00004983951,0.00000413483,0.00005473261,0.00001772645,0.9877657,0.002117589,0.0005521315,0.00669642],"study_design_scores_gemma":[0.002200185,0.001203493,0.0001397208,0.0007172211,0.00001395194,0.00007123125,0.0001086954,0.002620642,0.9407275,0.008669198,0.04332289,0.0002052321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5424329,0.00007680282,0.4539729,0.0008650073,0.0000189252,0.001279634,0.00009647132,0.00003685508,0.001220478],"genre_scores_gemma":[0.7682781,0.00002209842,0.2300768,0.000007598437,0.0002263976,0.0006003638,0.000009262336,0.00004292981,0.0007363898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2258452,"threshold_uncertainty_score":0.465739,"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."}}