{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001359782,0.0001487875,0.0006319163,0.000206904,0.00002318338,0.000001605976,0.0001415484,0.00014827,0.0005165224],"category_scores_gemma":[0.003556145,0.00009799166,0.0001487974,0.0004507146,0.0003152206,0.00005587571,0.00001438421,0.0002528891,0.00001303582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006521217,"about_ca_system_score_gemma":0.0001351196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008185938,"about_ca_topic_score_gemma":0.00006792267,"domain_scores_codex":[0.9979199,0.0004334978,0.0007545998,0.0002738318,0.000324049,0.0002941038],"domain_scores_gemma":[0.9963897,0.002835259,0.000165678,0.0004060525,0.0001041587,0.00009917335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006491694,0.002894361,0.5004986,0.00114276,0.0003434674,0.00005470344,0.01116981,0.03467923,0.3344874,0.001276527,0.004785849,0.1021756],"study_design_scores_gemma":[0.01047355,0.001211358,0.9575412,0.0005007664,0.0003213546,0.0002850685,0.0006769007,0.0154495,0.0005748309,0.001669153,0.01102434,0.0002720352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924265,0.001053799,0.001967202,0.0009516935,0.0001258862,0.0007205057,0.00001844008,0.00001574085,0.002720235],"genre_scores_gemma":[0.9972113,0.0006879025,0.0009750411,0.0003374725,0.0004831276,0.00001760849,0.0002451478,0.00001027401,0.00003216338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4570425,"threshold_uncertainty_score":0.5655558,"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."}}