{"id":"W4414849082","doi":"10.1161/circgen.125.005198","title":"Digging Deeper Into Cardiovascular Plasma Proteomics: Opportunities and Limitations of Current Platforms","year":2025,"lang":"en","type":"review","venue":"Circulation Genomic and Precision Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Juravinski Cancer Centre","funders":"","keywords":"Proteomics; Disease; Coronary artery disease; Biomarker discovery; Identification (biology); Biomarker; Risk assessment","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003673625,0.0003359314,0.001225969,0.0002705637,0.0001874835,0.00001814595,0.0001789215,0.0002561658,0.00003206183],"category_scores_gemma":[0.0002713155,0.0002714134,0.0002255502,0.0001464448,0.0002098945,0.00008654111,0.0001558124,0.0003157514,0.000001253756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002739,"about_ca_system_score_gemma":0.0001706963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008388257,"about_ca_topic_score_gemma":0.000001059691,"domain_scores_codex":[0.9982572,0.00002396233,0.0008860986,0.0004727062,0.0002088256,0.0001512605],"domain_scores_gemma":[0.9981259,0.0006801265,0.0004467316,0.0005223749,0.0001140239,0.0001108483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004320482,0.000009500279,0.000008140073,0.008977425,0.000118059,5.318878e-7,0.0002223377,0.00002795774,0.0001016219,0.002894034,0.00003058498,0.9876055],"study_design_scores_gemma":[0.0003089675,0.00001500122,0.000007261731,0.01474402,0.000952795,0.00002521736,0.0001766041,0.0002636639,0.00005296846,0.01189227,0.9712586,0.0003025811],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000624684,0.9426282,0.05495603,0.00002646823,0.00006012816,0.0008687372,0.0000451601,0.00005429625,0.000736319],"genre_scores_gemma":[0.0005464848,0.9906981,0.007647268,0.000007281249,0.0001418362,0.0004243536,0.0003968,0.0000341122,0.0001037832],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9873029,"threshold_uncertainty_score":0.9999738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1373879315558905,"score_gpt":0.3446697373332887,"score_spread":0.2072818057773982,"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."}}