{"id":"W2003633545","doi":"10.1109/tuffc.2008.979","title":"Time-delay estimation in ultrasound echo signals using individual sample tracking","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Sharif University of Technology","keywords":"Estimator; Computer science; Impulse response; Signal processing; Echo (communications protocol); Impulse (physics); Tracking (education); Algorithm; Mathematics; Radar; Telecommunications; Physics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001080597,0.0004089201,0.0004788725,0.0006364562,0.0001933604,0.0005464142,0.0005214083,0.0006345224,0.000431359],"category_scores_gemma":[0.005369366,0.0002100843,0.0003488887,0.0008590008,0.0004052915,0.0009624573,0.0004811876,0.0005473334,0.0001737233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000369473,"about_ca_system_score_gemma":0.0005332934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009428432,"about_ca_topic_score_gemma":0.001081554,"domain_scores_codex":[0.9995978,0.00009463359,0.00002288751,0.0001033678,0.0001617761,0.00001947899],"domain_scores_gemma":[0.9979776,0.001320725,0.0002280866,0.0001910379,0.0002420978,0.00004047959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004604308,0.0001374962,0.00544389,0.0002872745,0.0001317183,0.0001101008,0.000278946,0.2366253,0.1000389,0.01274708,0.0007928001,0.6429461],"study_design_scores_gemma":[0.00003087737,0.0001732958,0.001508288,0.00001479169,0.00003717821,0.0002067818,0.00001989426,0.9489283,0.04367778,0.003530916,0.001834352,0.00003741375],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02115628,0.0001368846,0.9783521,0.00001765854,0.00001740561,0.00001103916,0.00001314172,0.00016273,0.0001327289],"genre_scores_gemma":[0.2682942,0.0003299457,0.7304075,0.00003310174,0.00003152223,0.00004424816,0.00008592541,0.00007106611,0.0007023423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001080597,"threshold_uncertainty_score":0.005714834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185934826119191,"score_gpt":0.2562712268867713,"score_spread":0.2344118786255794,"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."}}