{"id":"W4404324541","doi":"10.1161/circ.150.suppl_1.4117438","title":"Abstract 4117438: Machine Learning Predicts Successful Transcatheter Mitral Valve Edge to Edge Repair: A Systematic Review and Meta-Analysis","year":2024,"lang":"en","type":"review","venue":"Circulation","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Medicine; Mitral valve; Cardiology; Mitral valve repair; Enhanced Data Rates for GSM Evolution; Internal medicine; Surgery; Artificial intelligence","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":[0.01216096,0.002256041,0.01475364,0.007569994,0.0005931963,0.003147791,0.002043875,0.002046105,0.005813276],"category_scores_gemma":[0.03461853,0.0009995502,0.02545844,0.00931362,0.0007050954,0.002045596,0.001190657,0.001868513,0.0005421475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001832366,"about_ca_system_score_gemma":0.003597612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005455612,"about_ca_topic_score_gemma":0.009769293,"domain_scores_codex":[0.9920059,0.003451009,0.002434258,0.0008062116,0.001078282,0.0002243901],"domain_scores_gemma":[0.9685209,0.02509819,0.00394309,0.0005174661,0.001683803,0.0002364965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001279367,0.0000344952,0.006478994,0.6174893,0.3520756,0.0001341908,0.00007791611,0.0006490932,0.0001453345,0.0001430071,0.001363198,0.02012951],"study_design_scores_gemma":[0.0006769344,0.0002509495,0.007190202,0.094131,0.8938442,0.0001452606,0.00005538647,0.0005144215,0.0001258446,0.0003308034,0.002695715,0.0000392962],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003646906,0.9939328,0.0005244387,0.0003086773,0.000131673,0.0002629836,0.000896631,0.00002600014,0.0002698385],"genre_scores_gemma":[0.123984,0.8690944,0.002394253,0.001012136,0.0004062076,0.001247262,0.001429057,0.00003214895,0.0004005005],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01475364,"threshold_uncertainty_score":0.06431407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06371166627396489,"score_gpt":0.3815445641392785,"score_spread":0.3178328978653135,"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."}}