{"id":"W2805916734","doi":"10.1109/tuffc.2018.2842427","title":"Coupling Myocardium and Vortex Dynamics in Diverging-Wave Echocardiography","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Fédération Française de Cardiologie","keywords":"Vortex; Doppler effect; Physics; Ventricle; Cardiac cycle; Vorticity; Blood flow; Heartbeat; Diastole; Mechanics; Cardiology; Internal medicine; Medicine; Blood pressure","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004164459,0.0003039482,0.0005832566,0.0006620031,0.0002906496,0.00006130342,0.00005263984,0.000254155,0.00002460728],"category_scores_gemma":[0.00003100354,0.0002803892,0.000367129,0.0008788336,0.0002076511,0.000107472,9.309737e-7,0.0006492714,0.000005796119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002553755,"about_ca_system_score_gemma":0.0001081084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002951551,"about_ca_topic_score_gemma":0.0002915257,"domain_scores_codex":[0.9982557,0.00005061842,0.0003557283,0.0005261935,0.0003568129,0.0004549369],"domain_scores_gemma":[0.9989829,0.0001727702,0.00006640823,0.0003332053,0.0001904476,0.000254243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004547249,0.002290021,0.5574325,0.0004883409,0.009818814,0.0008179275,0.002058112,0.007543394,0.01784803,0.009586481,0.0002523863,0.3873167],"study_design_scores_gemma":[0.01938818,0.003581352,0.1376215,0.0002731784,0.002708958,0.0009773836,0.0007733918,0.8288401,0.002448341,0.001138158,0.0007670252,0.001482418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4798602,0.001758807,0.5149505,0.0003100141,0.0008701689,0.0007321708,0.0000775094,0.0001415454,0.001299147],"genre_scores_gemma":[0.9951465,0.004056969,0.0002665148,0.0002763265,0.0001075797,0.00003321682,0.000008324795,0.00004203123,0.00006252681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8212967,"threshold_uncertainty_score":0.9999648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009480262453218364,"score_gpt":0.2176496292157454,"score_spread":0.208169366762527,"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."}}