{"id":"W2076954711","doi":"10.1016/j.echo.2011.05.015","title":"The Value of Three-Dimensional Echocardiography Derived Mitral Valve Parametric Maps and the Role of Experience in the Diagnosis of Pathology","year":2011,"lang":"en","type":"article","venue":"Journal of the American Society of Echocardiography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Parametric statistics; Medicine; Mitral valve; Radiology; Diagnostic accuracy; Visualization; Parametric model; Surgical planning; Cardiology; Artificial intelligence; Computer science; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0080124,0.0006289647,0.0006147458,0.001620941,0.0003486499,0.002950127,0.001290933,0.00140559,0.001645573],"category_scores_gemma":[0.07042006,0.000333118,0.0005139497,0.000831531,0.0012424,0.004668241,0.00107123,0.001358945,0.0003695755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003713417,"about_ca_system_score_gemma":0.0005902885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001176369,"about_ca_topic_score_gemma":0.001604043,"domain_scores_codex":[0.9964921,0.001719573,0.0004343678,0.0004032049,0.0007807674,0.0001698488],"domain_scores_gemma":[0.9142516,0.06923546,0.007514004,0.003010934,0.004252094,0.00173576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009665027,0.0001056925,0.9479184,0.0001050808,0.0002864551,0.0005209728,0.0004830122,0.001106475,0.0007220586,0.0004858912,0.0003507232,0.04694884],"study_design_scores_gemma":[0.00005468375,0.001060237,0.9557612,0.0002267627,0.0004612081,0.004868783,0.001553277,0.0273501,0.001839563,0.004625994,0.002039779,0.0001583992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805869,0.00651661,0.006046998,0.001475818,0.0001977359,0.00001980438,0.000396105,0.00003236298,0.004727631],"genre_scores_gemma":[0.9977193,0.0006784548,0.001182082,0.00007560165,0.000121155,0.000005092846,0.00006827097,0.00000985292,0.0001399336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0080124,"threshold_uncertainty_score":0.04237413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691552457932988,"score_gpt":0.2842086542686321,"score_spread":0.2672931296893022,"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."}}