{"id":"W1995281025","doi":"10.1016/j.ultrasmedbio.2013.12.008","title":"Endovascular Shear Strain Elastography for the Detection and Characterization of the Severity of Atherosclerotic Plaques: In Vitro Validation and In Vivo Evaluation","year":2014,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Elastography; Intravascular ultrasound; In vivo; Vulnerable plaque; Biomedical engineering; Medicine; Elasticity (physics); Radiology; Ultrasound; Materials science; Pathology; Biology; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362568,0.00007273827,0.0002206811,0.0001582275,0.00002315597,0.000001833496,0.00003864326,0.00007113945,0.00002203293],"category_scores_gemma":[0.00168381,0.00004472318,0.0000364484,0.0002136995,0.0002199049,0.00003365228,0.00001040811,0.0001022197,3.880791e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002647865,"about_ca_system_score_gemma":0.00001724427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002385696,"about_ca_topic_score_gemma":0.0003434651,"domain_scores_codex":[0.9990937,0.0002403902,0.0003490681,0.0001365081,0.00009243505,0.00008787798],"domain_scores_gemma":[0.9987251,0.0009301424,0.0001255069,0.0001328567,0.00007156025,0.00001482677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001723705,0.00007599875,0.146865,0.00008308997,0.00001320931,3.883057e-8,0.0005130424,0.0000145707,0.8086296,0.00006776344,6.877232e-7,0.04356458],"study_design_scores_gemma":[0.002474474,0.0005667789,0.9672985,0.0002464856,0.00008296328,0.00001227883,0.0002853549,0.004015632,0.02392051,0.0009099563,0.0001463113,0.00004074249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921979,0.0002085155,0.006278242,0.0002956527,0.0001112263,0.000870147,0.00002006709,0.000002797245,0.00001549216],"genre_scores_gemma":[0.9993625,0.0003252272,0.0000876231,0.00006628013,0.00003905061,0.00006500869,0.00004748524,0.000004826761,0.000002012948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8204335,"threshold_uncertainty_score":0.20158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188463589685607,"score_gpt":0.2845182844246888,"score_spread":0.2656719254561282,"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."}}