{"id":"W1980136706","doi":"10.1371/journal.pcbi.1002963","title":"Computational Biomarker Pipeline from Discovery to Clinical Implementation: Plasma Proteomic Biomarkers for Cardiac Transplantation","year":2013,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Institute of Infection and Immunity; University of Victoria; Prevention of Organ Failure; University of British Columbia","funders":"Novartis Pharma; Astellas Pharma; Genome British Columbia; St. Paul's Foundation; University of Victoria; Genome Canada","keywords":"Biomarker discovery; Biomarker; Multiplex; Proteomics; Computational biology; Transplantation; Proteome; Quantitative proteomics; Bioinformatics; Computer science; Medicine; Biology; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002561779,0.001332606,0.001286388,0.001082143,0.0005316718,0.002414129,0.001949952,0.00122994,0.004044901],"category_scores_gemma":[0.008036369,0.0006998655,0.001301827,0.0008361982,0.0005097589,0.001249681,0.001943907,0.001417275,0.001542881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009209469,"about_ca_system_score_gemma":0.003745001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004285896,"about_ca_topic_score_gemma":0.00405605,"domain_scores_codex":[0.9992965,0.0002265204,0.00006912529,0.000169825,0.00017077,0.00006718588],"domain_scores_gemma":[0.9980308,0.0009718025,0.0001281279,0.0001922071,0.000532434,0.0001445612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002424052,0.0006236235,0.01970412,0.0007754336,0.0005361668,0.001037518,0.0002709746,0.6059001,0.01389362,0.01137828,0.01962152,0.3238347],"study_design_scores_gemma":[0.00007804156,0.000128594,0.0008169183,0.00001995856,0.00005795327,0.00006925998,0.0000255436,0.9840114,0.004445379,0.00773636,0.002585395,0.0000252741],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04690461,0.0006933481,0.9313826,0.002791045,0.0001967887,0.0004099265,0.00181349,0.0135912,0.002217149],"genre_scores_gemma":[0.4142291,0.0008432021,0.5733305,0.001186354,0.0001353776,0.001086624,0.005495844,0.0008270863,0.002866035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004285896,"threshold_uncertainty_score":0.01354814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375821834990445,"score_gpt":0.3506546587721947,"score_spread":0.3168964404222903,"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."}}