{"id":"W2004589577","doi":"10.1016/j.ultrasmedbio.2004.12.013","title":"Real-time numerical simulation of Doppler ultrasound in the presence of nonaxial flow","year":2005,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Robarts Clinical Trials","funders":"","keywords":"Computational fluid dynamics; Doppler effect; Computer science; Sampling (signal processing); Gaussian; Flow (mathematics); Mechanics; Algorithm; Physics; Computer vision","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":[0.0006048126,0.0005609558,0.0008386093,0.0005799033,0.0007025426,0.001302647,0.001088627,0.002440736,0.002682195],"category_scores_gemma":[0.005717758,0.0004845421,0.0004861731,0.0006146936,0.001627999,0.0008009403,0.0008232218,0.0008898887,0.0002044611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009090166,"about_ca_system_score_gemma":0.001132866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01785225,"about_ca_topic_score_gemma":0.006276406,"domain_scores_codex":[0.9996898,0.00008724937,0.00001931518,0.00004018625,0.00009646837,0.00006702964],"domain_scores_gemma":[0.9969363,0.002192878,0.000248946,0.0001030803,0.0003116509,0.0002071901],"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":[0.0001248967,0.00007548578,0.00133639,0.00003228189,0.00001168642,0.0001590635,0.00008095145,0.9934123,0.001483246,0.001616926,0.0001759238,0.001490833],"study_design_scores_gemma":[0.00001734381,0.00001899657,0.0002110438,0.000002807906,0.000002700275,0.00001286515,0.00001510043,0.9992163,0.0002523598,0.000168112,0.00007706704,0.000005251435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9010504,0.0005062227,0.0778072,0.001191998,0.0002769587,0.0001196132,0.0004487991,0.0004595752,0.01813933],"genre_scores_gemma":[0.9872293,0.0001052196,0.01044307,0.00009329407,0.00002201542,0.00004752143,0.0001210745,0.00003910236,0.001899351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01785225,"threshold_uncertainty_score":0.03549665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619883436990316,"score_gpt":0.328312575907245,"score_spread":0.3121137415373418,"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."}}