{"id":"W2207418130","doi":"10.1115/sbc2012-80118","title":"In Vivo MRI Versus Ex Vivo CT for Image-Based CFD of the Mouse Aorta","year":2012,"lang":"en","type":"article","venue":"ASME 2012 Summer Bioengineering Conference, Parts A and B","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ex vivo; Descending aorta; Regurgitation (circulation); In vivo; Lesion; Abdominal aorta; Hemodynamics; Medicine; Aorta; Aortic valve; Thoracic aorta; Cardiology; Internal medicine; Biomedical engineering; Anatomy; Pathology; Biology","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":[0.0001698298,0.0001732876,0.0003217018,0.0000853047,0.00003691584,0.00001715394,0.00008063763,0.00005474552,0.0001198012],"category_scores_gemma":[0.00002969386,0.0001273023,0.0002281296,0.0001154895,0.00008286972,0.0001521226,0.00003795635,0.0001099278,0.000003624102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001396525,"about_ca_system_score_gemma":0.00005792654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005431144,"about_ca_topic_score_gemma":0.0000140142,"domain_scores_codex":[0.9991093,0.00002148859,0.0001928688,0.0001729363,0.0001604388,0.0003430071],"domain_scores_gemma":[0.9993294,0.0000539276,0.00004370442,0.000342349,0.00004960054,0.0001809777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00329502,0.002718768,0.3610131,0.00427505,0.003840212,0.0001003023,0.001418464,0.0005746425,0.5566825,0.01351624,0.04632938,0.006236333],"study_design_scores_gemma":[0.01602427,0.0003803995,0.104678,0.000561129,0.002240046,0.00005172637,0.0002322647,0.009492234,0.5691744,0.00003094218,0.2960592,0.001075415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911953,0.002769178,0.002737044,0.0006360721,0.0006346432,0.0007768878,0.0001177909,0.00004493538,0.001088177],"genre_scores_gemma":[0.9985747,0.00006313742,0.000356056,0.00008311318,0.0001531038,0.0000348393,0.000011614,0.00002039184,0.000703033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2563351,"threshold_uncertainty_score":0.5191238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02540052776075782,"score_gpt":0.2656444865020995,"score_spread":0.2402439587413417,"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."}}