{"id":"W2769600628","doi":"10.1109/ultsym.2017.8092614","title":"Ultrafast myocardial elastography using coherent compounding of diverging waves during simulated exercise","year":2017,"lang":"en","type":"article","venue":"2017 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Ultrashort pulse; Speckle pattern; Speckle tracking echocardiography; Cardiology; Myocardial ischemia; Compounding; Elastography; Frame rate; Internal medicine; Medicine; Biomedical engineering; Computer science; Physics; Ischemia; Optics; Radiology; Computer vision; Ultrasound; Laser; Heart failure","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":[0.000492398,0.0002294787,0.0002594735,0.0001890374,0.00009871132,0.000282274,0.0001738865,0.0003192605,0.0003755311],"category_scores_gemma":[0.001183138,0.0001267913,0.0001237907,0.0001560972,0.0002930058,0.0003327727,0.0004100908,0.0002685302,0.00004346607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032003,"about_ca_system_score_gemma":0.0001797201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004413358,"about_ca_topic_score_gemma":0.0009492831,"domain_scores_codex":[0.9998751,0.00005168942,0.000005901875,0.00001947793,0.00003104021,0.00001675583],"domain_scores_gemma":[0.999767,0.0001454971,0.00002858619,0.00002084859,0.00002136063,0.0000166604],"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":[0.002123715,0.0004177046,0.01240571,0.0002037804,0.00005051597,0.0002380356,0.000410926,0.01634362,0.9004124,0.0005740317,0.0001730585,0.06664652],"study_design_scores_gemma":[0.0002653463,0.00995095,0.1086929,0.0001050867,0.0002155847,0.00133685,0.0003351811,0.2758584,0.5998273,0.00132624,0.00197423,0.0001118105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635163,0.0003069445,0.03561879,0.00004368091,0.000009862894,0.00004335806,0.00004144126,0.00002981036,0.0003897082],"genre_scores_gemma":[0.9782437,0.000226726,0.02108419,0.00003316642,0.00001242273,0.00005446012,0.00004183758,0.00001170368,0.0002917545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000492398,"threshold_uncertainty_score":0.002604067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565300528995166,"score_gpt":0.3041352201264945,"score_spread":0.2784822148365428,"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."}}