{"id":"W2744565563","doi":"10.1299/jsmemecjo.2004.7.0_39","title":"Analysis of Blood Flow in Aorta with Ultrasonic-Measurement-Integrated Simulation","year":2004,"lang":"en","type":"article","venue":"The proceedings of the JSME annual meeting","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Blood flow; Ultrasonic sensor; Computation; Aorta; Circulatory system; Descending aorta; Flow (mathematics); Computer science; Computer simulation; Blood pressure; Ultrasonic flow meter; Biomedical engineering; Acoustics; Simulation; Cardiology; Medicine; Radiology; Physics; Mechanics; Algorithm","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":[0.0003951689,0.000405424,0.0005850708,0.0003354008,0.000298237,0.0005329824,0.0006645939,0.0005931109,0.000805596],"category_scores_gemma":[0.001515075,0.0002430184,0.0004006449,0.0004064648,0.0004473568,0.0003675682,0.000476238,0.000365877,0.0001123625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005524892,"about_ca_system_score_gemma":0.0008561225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007197889,"about_ca_topic_score_gemma":0.002387799,"domain_scores_codex":[0.9998087,0.0000448768,0.00001018391,0.00002369277,0.00008320978,0.00002939631],"domain_scores_gemma":[0.9995914,0.0001843326,0.0000480809,0.00004113746,0.0001075245,0.00002761586],"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":[0.00007495059,0.00005617808,0.002541357,0.00003344002,0.00002029999,0.00007270206,0.00007316264,0.9731025,0.009643829,0.004209411,0.0001256749,0.01004648],"study_design_scores_gemma":[0.000003432274,0.000009045658,0.0001704563,0.000001175489,0.000002163858,0.00000733131,0.000002993928,0.9985794,0.0009858123,0.0001445264,0.00009132576,0.000002263045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2755183,0.0001897028,0.7171361,0.0001786507,0.00006053362,0.00006109312,0.0001112819,0.000968726,0.005775683],"genre_scores_gemma":[0.9324381,0.0001134499,0.06614681,0.00002866456,0.00001451417,0.00006136113,0.00006472955,0.00005752956,0.001074804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007197889,"threshold_uncertainty_score":0.01431197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273028631833785,"score_gpt":0.2521580859337476,"score_spread":0.2394277996154097,"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."}}