{"id":"W2783907982","doi":"10.3174/ajnr.a5488","title":"Carotid Artery Wall Imaging: Perspective and Guidelines from the ASNR Vessel Wall Imaging Study Group and Expert Consensus Recommendations of the American Society of Neuroradiology","year":2018,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":315,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"U.S. Department of Defense","keywords":"Medicine; Stenosis; Digital subtraction angiography; Radiology; Neuroradiology; Lumen (anatomy); Angiography; Arterial wall; Carotid arteries; Cardiology; Internal medicine; Neurology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003614287,0.0002281619,0.0008991025,0.00008794585,0.0001440082,0.00001348499,0.0002602668,0.00001743475,0.00001355456],"category_scores_gemma":[0.0003477441,0.000139194,0.0003082848,0.0002692909,0.003888497,0.00005659324,0.0001192686,0.000325684,3.832906e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000364366,"about_ca_system_score_gemma":0.0001110006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087549,"about_ca_topic_score_gemma":0.00002533532,"domain_scores_codex":[0.997579,0.0009257665,0.0007125465,0.0003396488,0.0001953809,0.0002476324],"domain_scores_gemma":[0.9970676,0.0007641294,0.001013747,0.0004060096,0.0006078098,0.000140749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002497463,0.0002746535,0.9573991,0.000005989826,0.0006053173,0.00001111168,0.005757938,0.00000266542,0.01493733,0.0000293937,0.01254283,0.008183884],"study_design_scores_gemma":[0.001675073,0.002776102,0.9437537,0.00005684757,0.0004791466,0.002933398,0.04569173,0.0003123767,0.0001329149,0.0001213444,0.00192996,0.0001373717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570622,0.0006651274,0.0000694124,0.04160992,0.0002116846,0.0002992211,0.00002466963,0.000009510675,0.00004829349],"genre_scores_gemma":[0.9878793,0.001000319,0.0006326924,0.01009232,0.0003547669,0.000005865224,0.000002286736,0.00002555236,0.000006875129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03993379,"threshold_uncertainty_score":0.9988223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518169834972117,"score_gpt":0.3157574573642023,"score_spread":0.2905757590144811,"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."}}