{"id":"W2111689329","doi":"10.1118/1.3539701","title":"A compensative model for the angle‐dependence of motion estimates in noninvasive vascular elastography","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Elastography; Speckle pattern; Stenosis; Biomedical engineering; Ultrasound; Orientation (vector space); Carotid arteries; Materials science; Estimator; Radiology; Medicine; Mathematics; Optics; Physics; Geometry; Statistics; Surgery","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":[0.001585656,0.0007104005,0.000544351,0.0004490566,0.0001835401,0.000551117,0.0008583599,0.001121862,0.0009260878],"category_scores_gemma":[0.005487164,0.0003699383,0.0006379049,0.0003245506,0.0006940035,0.0007461135,0.0005990749,0.0007977149,0.0003281836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004432349,"about_ca_system_score_gemma":0.0006317307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00242327,"about_ca_topic_score_gemma":0.002315982,"domain_scores_codex":[0.9994519,0.0002004467,0.00002463613,0.0001242617,0.0001538835,0.00004471607],"domain_scores_gemma":[0.9982806,0.001063866,0.000257055,0.0001543886,0.0002048711,0.0000391997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001042953,0.00006221185,0.001767,0.0000837838,0.00004943033,0.0001236303,0.00008591182,0.9359517,0.02322067,0.007324758,0.0003517601,0.03087496],"study_design_scores_gemma":[0.000004322083,0.00003666561,0.0003676947,0.0000057354,0.00000785821,0.00003078354,0.000002134262,0.9976191,0.001004825,0.0006609772,0.0002511135,0.000008770029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02463631,0.0002150302,0.9741787,0.0001308155,0.00003520467,0.00003042851,0.00003355042,0.0001491466,0.0005908134],"genre_scores_gemma":[0.8726867,0.0006554238,0.1205307,0.0001509916,0.00008228837,0.0002512317,0.0002094401,0.0001588896,0.005274342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00242327,"threshold_uncertainty_score":0.008385897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03119289468657815,"score_gpt":0.2678465878815651,"score_spread":0.2366536931949869,"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."}}