{"id":"W2162990964","doi":"10.1109/tmi.2005.859204","title":"Virtual angiography for visualization and validation of computational models of aneurysm hemodynamics","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Western University","funders":"","keywords":"Computational fluid dynamics; Computer science; Visualization; Blood flow; Contrast (vision); Flow visualization; Angiography; Pulsatile flow; Flow (mathematics); Medical imaging; Computer vision; Artificial intelligence; Radiology; Physics; Mechanics; Medicine","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":[0.001713151,0.0006503983,0.0005245796,0.000769674,0.0003860342,0.001291022,0.0007312029,0.0006596498,0.001427516],"category_scores_gemma":[0.005123116,0.0003712235,0.0004636584,0.0004205558,0.0006856582,0.0004414521,0.001141366,0.0007639348,0.0002128155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000607191,"about_ca_system_score_gemma":0.001077716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003451562,"about_ca_topic_score_gemma":0.001784497,"domain_scores_codex":[0.9991468,0.0005256099,0.00004021731,0.00004950721,0.0001954615,0.00004233785],"domain_scores_gemma":[0.997771,0.001561684,0.00009711456,0.0003401782,0.0001678525,0.00006222858],"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":[0.0001710876,0.00006865912,0.001611376,0.00009630006,0.00004466315,0.0002827273,0.0001934658,0.912117,0.03024493,0.02109237,0.001054017,0.03302335],"study_design_scores_gemma":[0.00001283667,0.00005022701,0.0004093104,0.00001366873,0.000005359934,0.0000476915,0.0000167109,0.9881778,0.006904193,0.002130095,0.002218017,0.000013961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.119198,0.0004937087,0.872513,0.000264448,0.00009018987,0.0001107192,0.0003749735,0.003460777,0.003494161],"genre_scores_gemma":[0.7114944,0.0003882574,0.2863584,0.00005036904,0.00002241683,0.0002905319,0.0003271675,0.0002851689,0.0007833043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003451562,"threshold_uncertainty_score":0.009060144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377175310320322,"score_gpt":0.2839496238816641,"score_spread":0.2701778707784608,"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."}}