{"id":"W2996448489","doi":"10.1111/ctr.13765","title":"Biomarker discovery in cardiac allograft vasculopathy using targeted aptamer proteomics","year":2019,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Biomarker; Medicine; Biomarker discovery; Receiver operating characteristic; Internal medicine; Proteomics; Area under the curve; Heart transplantation; Oncology; Cardiology; Transplantation; Bioinformatics; Pathology; Biology","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":[0.001543216,0.0005780896,0.0005892628,0.00110645,0.000161388,0.000633685,0.0002359736,0.0005154015,0.0006957879],"category_scores_gemma":[0.001274992,0.0002050347,0.0004292101,0.0006064036,0.0002434489,0.0003173381,0.000285838,0.0004486362,0.0002686488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500351,"about_ca_system_score_gemma":0.0001606129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001575714,"about_ca_topic_score_gemma":0.0002488087,"domain_scores_codex":[0.9993808,0.00019924,0.00005298997,0.0001533574,0.0001597912,0.00005371987],"domain_scores_gemma":[0.9991708,0.000298587,0.0002518552,0.00005074069,0.0001645487,0.00006360631],"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":[0.001080207,0.0003132011,0.0755202,0.0002584741,0.0002439922,0.0002273687,0.00006303272,0.001607576,0.8885548,0.0001406137,0.000391327,0.03159915],"study_design_scores_gemma":[0.0001712203,0.004666262,0.3140745,0.0000578295,0.0004807404,0.00313097,0.0001637872,0.04484954,0.6278789,0.001175666,0.003271647,0.00007887796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971902,0.003810507,0.02273412,0.0002045792,0.00005581566,0.0001037226,0.0004198558,0.0002284454,0.0005409546],"genre_scores_gemma":[0.9778181,0.0007646904,0.0203108,0.0001882803,0.00003744002,0.00006957162,0.0003197152,0.00001519673,0.0004761847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001543216,"threshold_uncertainty_score":0.008161366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07673360685495352,"score_gpt":0.4024181663117748,"score_spread":0.3256845594568213,"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."}}