{"id":"W4391472013","doi":"10.1097/hco.0000000000001106","title":"Simulating mitral repair: lessons learned","year":2024,"lang":"en","type":"article","venue":"Current Opinion in Cardiology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta","funders":"","keywords":"Mitral valve repair; Modalities; Fidelity; Computer science; Task (project management); Simulation; Mitral valve; Medical physics; Systems engineering; Medicine; Surgery; Engineering","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":[0.003474633,0.00095343,0.0017338,0.001588729,0.0002239049,0.002046445,0.001647066,0.002310187,0.005740008],"category_scores_gemma":[0.01621955,0.000391287,0.001324511,0.00123447,0.0008588225,0.002750682,0.001282274,0.002846274,0.002588413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000882447,"about_ca_system_score_gemma":0.002765329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001591359,"about_ca_topic_score_gemma":0.001986898,"domain_scores_codex":[0.9984359,0.0005052972,0.0003198027,0.000186239,0.0004925734,0.00006020341],"domain_scores_gemma":[0.9874981,0.009399158,0.0006897046,0.0002417118,0.001862881,0.0003084108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009341576,0.00004671864,0.0003259856,0.0899755,0.0002698626,0.0002289041,0.0002487863,0.00109479,0.0003634953,0.005482524,0.05427994,0.8475902],"study_design_scores_gemma":[0.00005854907,0.0002649263,0.001409413,0.1381466,0.0004963818,0.002376298,0.0004398668,0.0005208657,0.0005929086,0.00774857,0.8478835,0.00006218095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0001997301,0.9926873,0.0007044924,0.003053211,0.001824913,0.000027456,0.00005088518,0.00002495785,0.001426961],"genre_scores_gemma":[0.001768421,0.9936711,0.0008575456,0.001877681,0.001345529,0.00003135976,0.00006197411,0.0000130733,0.0003732616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005740008,"threshold_uncertainty_score":0.01920229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2273222765636057,"score_gpt":0.4658886279194288,"score_spread":0.238566351355823,"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."}}