{"id":"W2794737209","doi":"10.1016/j.healun.2018.01.1070","title":"Biomarker Discovery in Cardiac Allograft Vasculopathy: Novel Aptamer Proteomic and MicroRNA Profiling","year":2018,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Aptamer; Biomarker; microRNA; Biomarker discovery; Heart transplantation; Cardiac allograft vasculopathy; Computational biology; Profiling (computer programming); Bioinformatics; Transplantation; Proteomics; Internal medicine; Biology; Gene; Molecular biology; Computer science","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":[0.001236844,0.0006835861,0.0007688825,0.001171849,0.0002895018,0.001448978,0.0004148234,0.001124776,0.0009923819],"category_scores_gemma":[0.001660458,0.0003088306,0.0005611232,0.0006741227,0.0003799865,0.0008969543,0.0006114321,0.000890329,0.0005454611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003185221,"about_ca_system_score_gemma":0.0003047556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042017,"about_ca_topic_score_gemma":0.0002397259,"domain_scores_codex":[0.9991078,0.0001929464,0.0000602626,0.0002703715,0.0002878721,0.00008072938],"domain_scores_gemma":[0.9995083,0.0001573297,0.0001540454,0.00003926572,0.00009142214,0.00004968114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001076792,0.0003871807,0.025273,0.0007205184,0.0003542572,0.0005604209,0.000166844,0.001662405,0.8534182,0.001781435,0.001910101,0.112689],"study_design_scores_gemma":[0.0001149403,0.001778941,0.03124645,0.000132856,0.0005346778,0.005042913,0.0002135107,0.03187883,0.9106117,0.004927339,0.01339621,0.0001215965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8581305,0.03097131,0.09563874,0.00266906,0.0008042157,0.0003445589,0.001910078,0.001055992,0.008475474],"genre_scores_gemma":[0.9313822,0.005567735,0.05584353,0.001773094,0.0003866484,0.0002416505,0.0007317933,0.00008934584,0.003984047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001448978,"threshold_uncertainty_score":0.006541133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935835059305377,"score_gpt":0.3057880278017087,"score_spread":0.2864296772086549,"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."}}