{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004670005,0.0005102419,0.0006312323,0.00007051248,0.0006840486,0.0001528629,0.0006752955,0.000453825,0.002216704],"category_scores_gemma":[0.0000327203,0.0003119596,0.001053031,0.0003170044,0.0002177991,0.00009516832,0.000293471,0.002319204,0.0003409068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926921,"about_ca_system_score_gemma":0.0001405757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003360126,"about_ca_topic_score_gemma":0.000003502618,"domain_scores_codex":[0.9966617,0.0004824853,0.0003852652,0.0007298545,0.001190219,0.0005505102],"domain_scores_gemma":[0.9973271,0.0002544358,0.0002181953,0.002018388,0.00007397641,0.0001079081],"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":[0.00005638052,0.00009757811,0.0008657762,0.0001196603,0.001856042,0.0001089444,0.00080873,0.000007120079,0.001276912,0.000007392776,0.9902269,0.004568558],"study_design_scores_gemma":[0.0006845452,0.0001732262,0.03986589,0.00009464945,0.00397348,0.0001075114,0.0001160204,0.00004381626,0.0002287537,0.0000418716,0.9543127,0.0003574717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05249504,0.009424794,0.00003263549,0.9338099,0.0007547068,0.001767309,0.0002397412,0.000159588,0.001316302],"genre_scores_gemma":[0.06986955,0.001649848,0.00002222097,0.9088461,0.004293871,0.0005056075,0.0009165605,0.0001926705,0.01370355],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03900012,"threshold_uncertainty_score":0.9999825,"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."}}