{"id":"W2026399009","doi":"10.1088/0967-3334/29/2/001","title":"A viscoelastic model of arterial wall motion in pulsatile flow: implications for Doppler ultrasound clutter assessment","year":2008,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Pulsatile flow; Viscoelasticity; Cardiac cycle; Mechanics; Pressure gradient; Doppler effect; Ultrasound; Blood flow; Waveform; Flow (mathematics); Materials science; Biomedical engineering; Physics; Acoustics; Medicine; Cardiology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003781266,0.0001111223,0.0003154569,0.00005577347,0.0000859871,0.000002840891,0.00005171853,0.00005074936,0.0001077869],"category_scores_gemma":[0.0001271053,0.00008985421,0.0002702776,0.00008592442,0.00003636194,0.00003783921,0.00002084374,0.00009566162,0.000002412298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002776378,"about_ca_system_score_gemma":0.0001563738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001297086,"about_ca_topic_score_gemma":0.000003481159,"domain_scores_codex":[0.998703,0.00008877045,0.0003595962,0.0002678191,0.0003584574,0.0002223507],"domain_scores_gemma":[0.9993618,0.0000359211,0.00007977834,0.000243051,0.0001604132,0.0001190094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001481778,0.003207723,0.006054233,0.0004064243,0.0001572231,0.000001623609,0.0001242046,0.030913,0.9528868,0.0003843257,0.002070906,0.002311823],"study_design_scores_gemma":[0.003770264,0.0002708839,0.9578693,0.00003380272,0.0001236088,0.00001518897,0.00001212486,0.03337727,0.0003723901,0.003973372,0.00006072435,0.0001210744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9084725,0.00009445817,0.08932986,0.0003806325,0.00008440324,0.001441523,0.00005384489,0.00002338022,0.0001194251],"genre_scores_gemma":[0.9950418,0.00003910591,0.003776681,0.0002330406,0.00008721129,0.0006095832,0.0001972985,0.000008811458,0.000006454758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9525144,"threshold_uncertainty_score":0.3664148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1378955327772763,"score_gpt":0.3380550821382745,"score_spread":0.2001595493609983,"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."}}