{"id":"W3000130889","doi":"10.1038/s41598-019-57317-7","title":"Combined spatiotemporal and frequency-dependent shear wave elastography enables detection of vulnerable carotid plaques as validated by MRI","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Kungliga Tekniska Högskolan; Vetenskapsrådet; Karolinska Institutet; Mayo Clinic","keywords":"Medicine; Fibrous cap; Magnetic resonance imaging; Vulnerable plaque; Elastography; Ultrasound; Radiology; Lesion; Magnetic resonance elastography; Pathology; Biomedical engineering","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":[0.001181268,0.0006543622,0.0005155405,0.001434549,0.0001282228,0.0004987583,0.0001694554,0.0005271472,0.0009451484],"category_scores_gemma":[0.002030629,0.0003130749,0.0002921623,0.0004653251,0.000304496,0.0006244447,0.0003737119,0.000425789,0.0002718644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004134738,"about_ca_system_score_gemma":0.0001234185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000144614,"about_ca_topic_score_gemma":0.000362893,"domain_scores_codex":[0.9996117,0.0001591595,0.0000292005,0.00007094704,0.00009216742,0.00003689664],"domain_scores_gemma":[0.9993196,0.0003380025,0.0001249505,0.00007976795,0.00008092256,0.00005685333],"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":[0.001753282,0.000264065,0.1723092,0.0002759174,0.0003009721,0.0005762179,0.0002582625,0.00087,0.7140879,0.0002533782,0.0001796401,0.1088711],"study_design_scores_gemma":[0.0001192651,0.004302671,0.7483881,0.00008334186,0.0008397185,0.008259083,0.0003906194,0.01938324,0.2146496,0.001634624,0.001854673,0.0000951468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652803,0.00308069,0.02963064,0.0001159916,0.00003402266,0.00004271102,0.0001061249,0.0001039727,0.001605565],"genre_scores_gemma":[0.9840895,0.001154653,0.01420074,0.00004223032,0.00008897088,0.00001971537,0.00006302953,0.00001270359,0.0003284683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001434549,"threshold_uncertainty_score":0.006247222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003391855455179,"score_gpt":0.2169580595015479,"score_spread":0.2069241409469961,"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."}}