{"id":"W2067345775","doi":"10.1115/sbc2009-206544","title":"Accounting for Differences Between Echo Particle Image Velocimetry (EPIV) and Pulse Wave Doppler (PWD) Velocity Measurements","year":2009,"lang":"en","type":"article","venue":"ASME 2009 Summer Bioengineering Conference, Parts A and B","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Doppler effect; Particle image velocimetry; Velocimetry; Laser Doppler velocimetry; Acoustic Doppler velocimetry; Optics; Pulse (music); Echo (communications protocol); Physics; Acoustics; Materials science; Blood flow; Mechanics; Turbulence; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007413361,0.001352626,0.0008489677,0.001447376,0.0005140491,0.001751853,0.001117243,0.0007819537,0.0009734222],"category_scores_gemma":[0.02592176,0.0007710232,0.0003189067,0.00153291,0.0005368778,0.001603681,0.001150402,0.001441484,0.0004722934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006172698,"about_ca_system_score_gemma":0.001634227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003335484,"about_ca_topic_score_gemma":0.004263345,"domain_scores_codex":[0.9962345,0.0007831496,0.0004176596,0.0008588052,0.001392687,0.0003131783],"domain_scores_gemma":[0.9939381,0.002983398,0.000582355,0.0009976192,0.001376706,0.0001218122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007996483,0.0003697185,0.06314755,0.0007676004,0.0002401765,0.0003968204,0.0009351207,0.02485777,0.6693823,0.009618135,0.002299787,0.2271854],"study_design_scores_gemma":[0.00005587799,0.0005288095,0.07338678,0.00008737743,0.0001897088,0.0005533895,0.0002377052,0.2841991,0.6219949,0.005541477,0.01305886,0.0001659751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2016363,0.001176739,0.7915025,0.0002019565,0.0006734164,0.000237274,0.0003863958,0.001415629,0.00276973],"genre_scores_gemma":[0.6543823,0.001190934,0.3392636,0.0002858473,0.00006943656,0.0003766561,0.00082,0.0009191173,0.002692014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007413361,"threshold_uncertainty_score":0.03920603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05165356768701248,"score_gpt":0.2502401703449326,"score_spread":0.1985866026579201,"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."}}