{"id":"W2791729645","doi":"10.1016/j.jcin.2017.10.049","title":"3-Dimensional–Printed Model for Planning Transcatheter Mitral Valve Replacement","year":2018,"lang":"en","type":"article","venue":"JACC: Cardiovascular Interventions","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital; London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Mitral valve; Mitral valve repair; Cardiology; Mitral valve replacement; Internal medicine; 3d printed; Surgery; Biomedical 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":[0.0003519568,0.0008570799,0.0004678415,0.0009032359,0.0002909578,0.001632511,0.0009878394,0.001717958,0.008235579],"category_scores_gemma":[0.001290411,0.000849607,0.001229971,0.000568555,0.00048413,0.0006564767,0.0009100756,0.0007057297,0.001475576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003416059,"about_ca_system_score_gemma":0.0008448106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00244699,"about_ca_topic_score_gemma":0.002648832,"domain_scores_codex":[0.9997186,0.00005007111,0.00002778713,0.00003544686,0.0001500319,0.00001800177],"domain_scores_gemma":[0.9995658,0.000221486,0.00004020579,0.00007189679,0.00007907199,0.00002153009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009235126,0.0000670901,0.001174523,0.0002636937,0.00004645379,0.0006531343,0.0001827181,0.9257985,0.0132003,0.004516124,0.001712437,0.0522926],"study_design_scores_gemma":[0.00001862164,0.00006734565,0.000699022,0.00004351701,0.00003352884,0.0004480354,0.00005565428,0.9834566,0.00581217,0.002506779,0.006793292,0.00006551894],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03297512,0.0004057406,0.9465055,0.000332361,0.0002033267,0.0001939835,0.0009993805,0.001995758,0.01638872],"genre_scores_gemma":[0.5621759,0.001028712,0.4224739,0.0002075286,0.00007144616,0.0004186241,0.001412276,0.0005210417,0.01169063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008235579,"threshold_uncertainty_score":0.02755076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05967604716737052,"score_gpt":0.3802166289647818,"score_spread":0.3205405817974113,"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."}}