{"id":"W2892359074","doi":"10.1016/j.jbiomech.2018.09.013","title":"Personalized stent design for congenital heart defects using pulsatile blood flow simulations","year":2018,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Stent; Pulsatile flow; Hemodynamics; Blood flow; Pulmonary artery; Computational fluid dynamics; Inflow; Radiology; Medicine; Cardiology; Biomedical engineering; Mechanics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003241182,0.00009637653,0.0002392395,0.000213406,0.0001672505,0.00002331376,0.00006312184,0.0000537201,0.000926922],"category_scores_gemma":[0.0003267132,0.00008496003,0.0003097794,0.0001791316,0.00003276196,0.00008126916,0.0000268811,0.00009992944,0.000003240146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000899514,"about_ca_system_score_gemma":0.0001985701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003091485,"about_ca_topic_score_gemma":0.000002547751,"domain_scores_codex":[0.9990609,0.00004573442,0.0003877822,0.00009280076,0.0002461462,0.0001665974],"domain_scores_gemma":[0.9987205,0.0002471549,0.0002164528,0.0001145453,0.0005716903,0.000129637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004884812,0.006054542,0.0009660621,0.0003197894,0.002653662,0.0003707219,0.001566509,0.001843026,0.9411604,0.001035786,0.01213811,0.02700659],"study_design_scores_gemma":[0.01194041,0.01909842,0.000136985,0.0003404511,0.003097314,0.003799818,0.0008236965,0.8665108,0.07003019,0.002122024,0.02176522,0.0003346569],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7131531,0.0005005944,0.2850371,0.0001943257,0.0006507487,0.0003597469,0.00008367882,0.000008857376,0.00001194583],"genre_scores_gemma":[0.9361608,0.00001358848,0.06307171,0.0001846903,0.0004001432,0.000003482763,0.00001140715,0.00002014214,0.0001340151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8711302,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07140674959097776,"score_gpt":0.3363914117968773,"score_spread":0.2649846622058996,"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."}}