{"id":"W4213306229","doi":"10.1016/j.atherosclerosis.2022.02.004","title":"Pericoronary adipose tissue attenuation is “all the rage” around the vessel wall","year":2022,"lang":"en","type":"letter","venue":"Atherosclerosis","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Adipose tissue; Inflammation; Coronary atherosclerosis; Coronary arteries; Coronary angiography; Angiography; Coronary artery disease; Biomarker; Pathology; Radiology; Internal medicine; Cardiology; Artery; Myocardial infarction; Biology","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":[0.001071004,0.0006185038,0.001208773,0.0004267172,0.002419946,0.002225555,0.0008192658,0.02262288,0.002768009],"category_scores_gemma":[0.009971356,0.0004335145,0.0006100764,0.0004068232,0.002558114,0.002456702,0.0008577519,0.02081325,0.001823292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759272,"about_ca_system_score_gemma":0.001171552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002442527,"about_ca_topic_score_gemma":0.003278952,"domain_scores_codex":[0.9990171,0.0003921506,0.00009337989,0.0001468167,0.0002114677,0.0001389717],"domain_scores_gemma":[0.9975343,0.001425031,0.0002098005,0.0001297892,0.0003179376,0.000383098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003967564,0.0001480568,0.008137952,0.0002161841,0.0000999907,0.05446346,0.0008452983,0.0001911183,0.001580037,0.008523007,0.8899433,0.03545491],"study_design_scores_gemma":[0.0006158584,0.0004969631,0.01402876,0.001194473,0.0002002686,0.08335542,0.003727296,0.001192639,0.001052734,0.04663457,0.8473052,0.000195791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002937966,0.00391844,0.0001430114,0.9754328,0.01343915,0.000007631913,0.00001755803,0.00001931157,0.004084097],"genre_scores_gemma":[0.05075707,0.00544456,0.0004250341,0.7518132,0.1845172,0.00002443383,0.00002104744,0.00002920735,0.006968233],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02262288,"threshold_uncertainty_score":0.01276451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03008997661479911,"score_gpt":0.255311538441281,"score_spread":0.2252215618264818,"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."}}