{"id":"W2929193366","doi":"10.1161/circinterventions.118.007396","title":"Computed Tomography–Based Indexed Aortic Annulus Size to Predict Prosthesis-Patient Mismatch","year":2019,"lang":"en","type":"article","venue":"Circulation Cardiovascular Interventions","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Cardiac skeleton; Medicine; Prosthesis; Aortic valve replacement; Valve replacement; Annulus (botany); Cardiology; Hemodynamics; Aortic valve; Internal medicine; Surgery; Stenosis; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0002293539,0.0002604316,0.0006342889,0.0003031635,0.0001090355,0.00006295759,0.00009158519,0.0001077836,0.0003334147],"category_scores_gemma":[0.0001152592,0.0002585958,0.01152525,0.0007229677,0.00003130821,0.0001040928,0.00005286404,0.0001233244,0.0003502108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001973626,"about_ca_system_score_gemma":0.00009151629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005206808,"about_ca_topic_score_gemma":0.000001302125,"domain_scores_codex":[0.9976845,0.0001524689,0.0005283732,0.0005776055,0.0007361923,0.0003208558],"domain_scores_gemma":[0.9980524,0.00005600084,0.0001028724,0.001059641,0.0003871901,0.0003419196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001764266,0.001157207,0.9468723,0.0007425907,0.01396564,0.00003685259,0.0001695311,0.01915162,0.0002560674,0.00004673706,0.0004811092,0.01694391],"study_design_scores_gemma":[0.002930993,0.0002933909,0.9887584,0.0007307235,0.003551597,0.00001962025,0.00009200526,0.001857745,0.0001983329,0.00003096608,0.001289604,0.0002466275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858427,0.002198456,0.007193973,0.0001690578,0.0005526691,0.002952687,0.0001046625,0.0002280358,0.0007577678],"genre_scores_gemma":[0.9983422,0.000003056863,0.0005775123,0.0002315272,0.00007792191,0.0003032263,0.0003145154,0.00004991888,0.0001000786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04188608,"threshold_uncertainty_score":0.9999866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493613891884878,"score_gpt":0.2920461159680551,"score_spread":0.2771099770492063,"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."}}