{"id":"W2022272824","doi":"10.1016/j.carpath.2010.10.003","title":"Giant cell aortitis: a difficult diagnosis assessing risk for the development of aneurysms and dissections","year":2011,"lang":"en","type":"article","venue":"Cardiovascular Pathology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network; Toronto General Hospital","funders":"","keywords":"Aortitis; Giant cell arteritis; Medicine; Presentation (obstetrics); Giant cell; Pathological; Radiology; Ascending aorta; Clostridium septicum; Aneurysm; Dissection (medical); Arteritis; Aortic aneurysm; Aorta; Surgery; Vasculitis; Pathology; Disease","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":[0.001650079,0.0009607931,0.001309608,0.002531836,0.001128046,0.0012734,0.0008790323,0.002520011,0.001542162],"category_scores_gemma":[0.01019168,0.0005119445,0.0002871896,0.0006834702,0.001340893,0.002962706,0.0009398284,0.00231147,0.0005830428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003742297,"about_ca_system_score_gemma":0.0007412371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006714778,"about_ca_topic_score_gemma":0.0008651951,"domain_scores_codex":[0.9990778,0.000224482,0.0001190242,0.00009804434,0.0003164303,0.0001642883],"domain_scores_gemma":[0.996932,0.001349053,0.0005817506,0.0001536135,0.0003070573,0.0006764908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004619854,0.0001450095,0.6681945,0.0001494514,0.00005598563,0.2838659,0.0005600205,0.0004790185,0.005540546,0.001189657,0.001800096,0.03755783],"study_design_scores_gemma":[0.00002505568,0.0003856414,0.1499216,0.0001881742,0.00008012497,0.8369077,0.001741503,0.002032694,0.001696871,0.005302348,0.001669102,0.00004910906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642919,0.007379189,0.008457087,0.01002511,0.0002807792,0.0001112006,0.0001837474,0.0001043949,0.009166487],"genre_scores_gemma":[0.9912969,0.001773613,0.004995353,0.0006937623,0.0007516581,0.000014194,0.00006089347,0.00001406786,0.0003995183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002531836,"threshold_uncertainty_score":0.008726537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02573595595804712,"score_gpt":0.2460738440582347,"score_spread":0.2203378881001876,"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."}}