{"id":"W2906511844","doi":"10.1161/circ.132.suppl_3.18880","title":"Abstract 18880: Inflammation Imaged With [18F]-FDG PET/CTA is Related to 3D Ultrasound Phenotypes of High-risk Carotid Plaque: Sub-study of the Canadian Atherosclerosis Imaging Network (CAIN-2)","year":2015,"lang":"en","type":"article","venue":"Circulation","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute; London Health Sciences Centre; Robarts Clinical Trials; Montreal Heart Institute; University of Ottawa","funders":"","keywords":"Medicine; Carotid endarterectomy; Endarterectomy; Positron emission tomography; Radiology; Vulnerable plaque; Fluorodeoxyglucose; Ultrasound; Fibrous cap; Nuclear medicine; Inflammation; Standardized uptake value; Imaging biomarker; Stenosis; Pathology; Internal medicine; Magnetic resonance imaging","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007318262,0.0009002489,0.0004782212,0.0009879509,0.001347719,0.0007004687,0.0008025817,0.0007321967,0.003544563],"category_scores_gemma":[0.002015441,0.0005157052,0.0004728889,0.001040264,0.000547281,0.0003032179,0.0006637381,0.0006701053,0.000718401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130676,"about_ca_system_score_gemma":0.002507213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.320014,"about_ca_topic_score_gemma":0.302448,"domain_scores_codex":[0.9994734,0.00004159274,0.00002849547,0.00009885208,0.0001987286,0.0001589868],"domain_scores_gemma":[0.9985203,0.0001300287,0.0003168772,0.0000949337,0.0004789054,0.0004590136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004020282,0.00007074687,0.995883,0.00002020343,0.00009926172,0.0001502997,0.0001638456,0.0000517269,0.0006558316,0.00002358302,0.0005203576,0.001959192],"study_design_scores_gemma":[0.00001842138,0.00004247195,0.9993154,0.00000294312,0.00001924267,0.0001761822,0.00006469199,0.00009179034,0.00002706611,0.00001062064,0.0002270592,0.000004175174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979333,0.0001773117,0.00009019685,0.00006692066,0.000009154138,0.00005931217,0.000878022,0.000006951163,0.0007788627],"genre_scores_gemma":[0.996743,0.00009191799,0.000159321,0.00005482083,0.00001917014,0.000042285,0.001970127,0.000006133921,0.0009133334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.679986,"threshold_uncertainty_score":0.6363027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009347617261324923,"score_gpt":0.2113134760512491,"score_spread":0.2019658587899242,"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."}}