{"id":"W1017301416","doi":"10.1007/s10439-015-1394-4","title":"Emerging Trends in Heart Valve Engineering: Part IV. Computational Modeling and Experimental Studies","year":2015,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computational model; Heart valve; Computer science; Computational fluid dynamics; Focus (optics); Engineering; Simulation; Medicine; Cardiology; Aerospace engineering; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.000174177,0.0001434345,0.0003650466,0.0003119698,0.00001183079,0.000006015915,0.00002629571,0.00004800288,0.000008509574],"category_scores_gemma":[0.0001083891,0.0001334119,0.0002547031,0.0002503726,0.00003269084,0.00006398473,0.00004876314,0.00008249151,0.000001471672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003329711,"about_ca_system_score_gemma":0.00002702711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001467803,"about_ca_topic_score_gemma":8.342682e-8,"domain_scores_codex":[0.9989968,0.000007677208,0.000277339,0.0001798193,0.0003186499,0.0002197171],"domain_scores_gemma":[0.9994728,0.0000403287,0.00002237077,0.00008453909,0.00006977558,0.00031018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003745375,0.001561408,0.01996978,0.0006004166,0.004055406,0.0001760148,0.003694228,0.9455555,0.001890168,0.0006361444,0.004999534,0.01648689],"study_design_scores_gemma":[0.002925507,0.0004056539,0.01416159,0.0004973948,0.0001236255,0.00003489067,0.0007576724,0.9781833,0.0004529006,0.00003622981,0.002168893,0.0002523937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813114,0.01715788,0.0004871195,0.0006917118,0.0001927403,0.00007458812,0.00001290441,0.00004713062,0.00002449912],"genre_scores_gemma":[0.9983798,0.0001179769,0.001208106,0.00008389605,0.0001147708,0.00001573968,0.00005343706,0.00001802008,0.000008310505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03262777,"threshold_uncertainty_score":0.5440381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07398122290105173,"score_gpt":0.4024293463292228,"score_spread":0.3284481234281711,"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."}}