{"id":"W4388594938","doi":"10.1093/eurheartj/ehad655.1757","title":"Decoding calcific mitral valve disease: a novel deep learning model uncovers the role of calcium burden","year":2023,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Cardiology; Mitral regurgitation; Mitral valve; Internal medicine; Radiology; Calcification; valvular heart disease","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":[0.001021418,0.001157601,0.001215838,0.0008740399,0.0004069669,0.001245774,0.00130946,0.001415861,0.001634391],"category_scores_gemma":[0.002356007,0.0002695316,0.0009312499,0.0005121412,0.0003587951,0.0006031846,0.0008719428,0.001455293,0.0003340833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006611569,"about_ca_system_score_gemma":0.001298145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026711,"about_ca_topic_score_gemma":0.006346392,"domain_scores_codex":[0.9997286,0.00006441696,0.00001814695,0.00008338542,0.00003424122,0.00007128008],"domain_scores_gemma":[0.9991263,0.0005249925,0.00006597959,0.00003762865,0.0001580186,0.00008706615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00129276,0.001355621,0.0675891,0.0002959858,0.000670949,0.0007734943,0.0001721824,0.5773056,0.006009383,0.002374524,0.01456011,0.3276002],"study_design_scores_gemma":[0.00002538923,0.00008403393,0.001684372,0.00001875714,0.00003470786,0.00004222063,0.00001573779,0.9963587,0.0002855226,0.001169485,0.0002730292,0.000008030301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7482069,0.007322936,0.2287222,0.005119696,0.0006381516,0.0001935677,0.001706962,0.001803314,0.006286317],"genre_scores_gemma":[0.9730582,0.0007387031,0.02117153,0.0005507552,0.0001922323,0.00009672431,0.001557471,0.00003726114,0.002597175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01026711,"threshold_uncertainty_score":0.02041471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04425958465691099,"score_gpt":0.3480388160708873,"score_spread":0.3037792314139763,"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."}}