{"id":"W2769267283","doi":"10.1016/j.pcad.2017.11.004","title":"Biomarkers in Mitral Regurgitation","year":2017,"lang":"en","type":"review","venue":"Progress in Cardiovascular Diseases","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut Universitaire de Cardiologie et de Pneumologie de Québec","funders":"Karolinska Institutet; Mayo Clinic","keywords":"Medicine; Mitral regurgitation; Prohormone; Heart failure; microRNA; Bioinformatics; Biomarker; Functional mitral regurgitation; Cardiology; Internal medicine; Gene; Hormone","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":[0.001282538,0.001385704,0.002845933,0.002410293,0.0002379393,0.001739326,0.0007353471,0.001259535,0.003013535],"category_scores_gemma":[0.002049265,0.000421944,0.001116443,0.002102109,0.0004807757,0.001441507,0.001116861,0.002346003,0.001210374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003886278,"about_ca_system_score_gemma":0.001456215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009184207,"about_ca_topic_score_gemma":0.001935988,"domain_scores_codex":[0.9995314,0.0001060766,0.0001095654,0.00007050335,0.0001424886,0.00003997974],"domain_scores_gemma":[0.9992053,0.0003987097,0.000179456,0.00002037806,0.0001526238,0.00004357393],"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":[0.0002205767,0.00008421169,0.000654994,0.03300272,0.0004568755,0.0001792487,0.00006038437,0.0002186436,0.0009159606,0.001751603,0.02593223,0.9365226],"study_design_scores_gemma":[0.0002739598,0.0003613105,0.005347771,0.0328673,0.00266915,0.001910272,0.0001919464,0.0003577641,0.0009534847,0.005317983,0.9496565,0.00009237387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005966242,0.9992492,0.00007410195,0.0001778801,0.0001818486,0.000004009973,0.00001727703,0.000003470309,0.0002325487],"genre_scores_gemma":[0.0008128483,0.9979564,0.0002299873,0.0003293172,0.0003825814,0.000009522505,0.00003612979,0.000001066862,0.0002421935],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003013535,"threshold_uncertainty_score":0.01008123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05820782079666532,"score_gpt":0.4259959965552234,"score_spread":0.3677881757585581,"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."}}