{"id":"W2976026593","doi":"10.12688/f1000research.16066.1","title":"Recent advances in understanding and managing mitral valve disease","year":2019,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"Heart and Stroke Foundation of Canada","keywords":"Mitral valve; Mitral regurgitation; Medicine; Cardiology; Internal medicine; Mitral valve repair; Disease; Intensive care 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002856737,0.0002540263,0.0004546236,0.0004168948,0.00006173156,0.00008431816,0.0001169193,0.0001113936,0.000165781],"category_scores_gemma":[0.0001145491,0.0002318588,0.0009429163,0.0001895063,0.0001073259,0.00009491633,0.0006538189,0.0006420101,0.00004630073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007994025,"about_ca_system_score_gemma":0.0004070537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005452339,"about_ca_topic_score_gemma":0.00001016514,"domain_scores_codex":[0.9977686,0.0001101169,0.0002312903,0.0006718455,0.000695708,0.0005224321],"domain_scores_gemma":[0.9987122,0.0001242196,0.00005015588,0.0005368569,0.00007468356,0.0005019172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000960375,0.0002321724,0.9701616,0.001836852,0.0007148408,0.0003229722,0.0001126699,0.0002630597,0.000001919902,0.0007336443,0.0004408312,0.02421902],"study_design_scores_gemma":[0.002544469,0.00009751572,0.9699413,0.001702057,0.0006711455,0.00000412193,0.0005786111,0.001065702,0.000002573978,0.01821961,0.004877184,0.0002957025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4882965,0.4795555,0.0003013499,0.003940267,0.000938775,0.004364258,0.0003964757,0.0001305335,0.02207631],"genre_scores_gemma":[0.8783305,0.12049,0.00004359079,0.00009006778,0.000123133,0.0001051803,0.0002937042,0.00004944659,0.0004743569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.390034,"threshold_uncertainty_score":0.9454927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07668482283998714,"score_gpt":0.4321348561878556,"score_spread":0.3554500333478685,"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."}}