{"id":"W2119741959","doi":"10.1016/j.ultrasmedbio.2004.08.029","title":"Sample volume shape for pulsed-flow velocity estimation using a linear array","year":2004,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transducer; SIGNAL (programming language); Acoustics; Beam (structure); Phased array; Sample (material); Energy (signal processing); Volume (thermodynamics); Noise (video); Flow (mathematics); Optics; Physics; Materials science; Computer science; Telecommunications; Mechanics; Antenna (radio)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006099406,0.0003072767,0.0006910134,0.0004308786,0.0001416226,0.00001065269,0.0001459957,0.000220536,0.0002517881],"category_scores_gemma":[0.004810382,0.0002498051,0.0001423119,0.0005990625,0.0005892105,0.0001073547,0.0000119803,0.0004158819,0.00001896488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231394,"about_ca_system_score_gemma":0.0001620604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100944,"about_ca_topic_score_gemma":0.00006085843,"domain_scores_codex":[0.9979921,0.00006321177,0.0006053299,0.0005348452,0.000179077,0.0006254165],"domain_scores_gemma":[0.9981945,0.0009412242,0.0001539748,0.0003403669,0.0001770149,0.0001929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008301703,0.0009157059,0.1836926,0.0003524662,0.0002325012,0.000007659122,0.00319011,0.003741785,0.755205,0.0006439737,0.000925816,0.05026222],"study_design_scores_gemma":[0.06713556,0.02379712,0.1864564,0.004176205,0.002237877,0.003413116,0.003409651,0.1508895,0.01319243,0.1189181,0.4225372,0.003836827],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4729396,0.0003872188,0.5226662,0.002440609,0.0005154851,0.0005760777,0.00005371052,0.0001087224,0.0003123191],"genre_scores_gemma":[0.7307861,0.00008484984,0.2656181,0.001944453,0.0006969213,0.00004843638,0.0007475359,0.0000395154,0.00003413273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7420126,"threshold_uncertainty_score":0.9999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779251569972669,"score_gpt":0.3220110448694165,"score_spread":0.2942185291696898,"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."}}