{"id":"W2111135353","doi":"10.1093/icvts/ivu034","title":"A computational fluid dynamics simulation study of coronary blood flow affected by graft placement","year":2014,"lang":"en","type":"article","venue":"Interactive Cardiovascular and Thoracic Surgery","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Southlake Regional Health Center; Toronto Metropolitan University","funders":"","keywords":"Medicine; Blood flow; Stenosis; Artery; Flow (mathematics); Volumetric flow rate; Cardiology; Outflow; Mechanics; Internal medicine; Surgery; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002399189,0.0004030806,0.0003976176,0.0002853612,0.0003131507,0.0004909163,0.0003691139,0.0006642742,0.0008146185],"category_scores_gemma":[0.001448609,0.000207354,0.0004255315,0.0002868716,0.0004551319,0.0002371796,0.0002724459,0.0003311419,0.0001038274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004349098,"about_ca_system_score_gemma":0.0007880499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005631512,"about_ca_topic_score_gemma":0.002631129,"domain_scores_codex":[0.9998654,0.00003224686,0.000007889164,0.00002370539,0.00004247376,0.00002830963],"domain_scores_gemma":[0.9993687,0.0003935265,0.00007950961,0.00003892991,0.00008299615,0.00003634513],"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":[0.0005701258,0.0002638715,0.01119996,0.0001024335,0.00004141232,0.000332981,0.0001621358,0.9373648,0.04136884,0.000951664,0.000214657,0.007427157],"study_design_scores_gemma":[0.00003872024,0.0002305036,0.003589386,0.000007534934,0.00001720381,0.00008516052,0.00003289339,0.9853429,0.01016626,0.000146177,0.0003283595,0.00001495605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860869,0.0001045689,0.01169967,0.00008253163,0.0000168381,0.00004561591,0.0001862627,0.0000689247,0.001708701],"genre_scores_gemma":[0.9930863,0.000090055,0.006186315,0.00001526242,0.000004364706,0.00003450543,0.0001120977,0.00001106154,0.0004598891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005631512,"threshold_uncertainty_score":0.01119745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460188064395017,"score_gpt":0.2926143632693494,"score_spread":0.2780124826253992,"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."}}