{"id":"W1991991880","doi":"10.1109/tuffc.2010.1584","title":"A high-frame-rate ultrasound system for the study of tissue motions","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs; McGill University","keywords":"Frame rate; Elastography; Computer science; Doppler effect; Frame (networking); Biological tissue; Biomedical engineering; Computer vision; Ultrasound; Acoustics; Physics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001371286,0.0004851722,0.0007082003,0.001081622,0.0004388102,0.0005543039,0.001040864,0.001315022,0.004481827],"category_scores_gemma":[0.001425282,0.0003718958,0.0002530801,0.000692783,0.000454544,0.000800838,0.0004944861,0.0009126524,0.001915907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003177295,"about_ca_system_score_gemma":0.0005402139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003249838,"about_ca_topic_score_gemma":0.0007368553,"domain_scores_codex":[0.9993283,0.0001683441,0.00002703619,0.0001032759,0.0003362521,0.00003685281],"domain_scores_gemma":[0.9989907,0.0004650421,0.00009833019,0.0001448436,0.0002182703,0.0000827589],"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":[0.0002192491,0.00008315165,0.001099755,0.0004230911,0.00003361871,0.0001383116,0.0001349615,0.0007014112,0.7840581,0.00500574,0.003225788,0.2048767],"study_design_scores_gemma":[0.0003314781,0.00470666,0.01795926,0.0003302737,0.0004314103,0.009493572,0.0001618345,0.05177557,0.6952866,0.004354971,0.2147572,0.000411178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03330724,0.007663076,0.9501141,0.0003780386,0.0006210707,0.0004964416,0.0003324439,0.002225288,0.004862257],"genre_scores_gemma":[0.09555002,0.003114411,0.8952317,0.0003091103,0.0004374787,0.0005098842,0.000288394,0.0000954588,0.00446361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004481827,"threshold_uncertainty_score":0.01499319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008467574972450554,"score_gpt":0.2401502228246448,"score_spread":0.2316826478521943,"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."}}