{"id":"W2770469499","doi":"10.1007/s00246-017-1785-4","title":"Comparison of 3D Echocardiogram-Derived 3D Printed Valve Models to Molded Models for Simulated Repair of Pediatric Atrioventricular Valves","year":2017,"lang":"en","type":"article","venue":"Pediatric Cardiology","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; Cancer Care Ontario; Children's Hospital of Philadelphia","keywords":"Tricuspid valve; 3d printed; Medicine; Atrioventricular valve; 3d printer; Mitral valve; Heart valve; Biomedical engineering; Surgery; Cardiology; Mechanical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004304972,0.0004913714,0.002575811,0.0006000401,0.0002103281,0.00002055381,0.000361584,0.0004004052,0.00001179294],"category_scores_gemma":[0.0005014616,0.0004530608,0.005936525,0.0004457519,0.0001112644,0.0001548646,0.0003183721,0.000209957,0.000008852313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001373572,"about_ca_system_score_gemma":0.0003202202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003093011,"about_ca_topic_score_gemma":0.000001264545,"domain_scores_codex":[0.9965878,0.0001556017,0.00114982,0.000868157,0.0005354208,0.0007031662],"domain_scores_gemma":[0.9957349,0.0003253852,0.0008469704,0.00169885,0.0009593163,0.000434595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001092311,0.0004253971,0.7261721,0.000421461,0.005041847,0.00004343236,0.0001852397,0.2650743,0.00006052159,0.0001083615,0.0007820793,0.0005929912],"study_design_scores_gemma":[0.01550798,0.0026447,0.7599919,0.00005316455,0.04932921,0.00003736439,0.0002192683,0.1687106,0.0003015395,0.002060147,0.0001109236,0.001033226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714665,0.005827849,0.0177535,0.00003259565,0.0006067173,0.002875751,0.0005245034,0.0001648848,0.000747723],"genre_scores_gemma":[0.9934555,0.001509441,0.003395531,0.00002701293,0.001125899,0.0001482388,0.0002241856,0.00008056079,0.00003357976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09636366,"threshold_uncertainty_score":0.9997921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05105037678955592,"score_gpt":0.3732252990785606,"score_spread":0.3221749222890047,"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."}}