{"id":"W2933499340","doi":"10.1093/rheumatology/kez062.010","title":"236. CLINICAL USE OF CHEST RADIOGRAPH IN SCREENING FOR AORTIC STRUCTURAL DAMAGE IN PATIENTS WITH GIANT CELL ARTERITIS: BASELINE DATA","year":2019,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Giant cell arteritis; Chest radiograph; Radiography; Radiology; Arteritis; Aortitis; Baseline (sea); Internal medicine; Aorta; Vasculitis; 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":[0.002034232,0.0002758674,0.0006162435,0.002101714,0.0004048296,0.0009154014,0.0003739326,0.0006773137,0.002568904],"category_scores_gemma":[0.007176161,0.0001889107,0.0006495097,0.001935944,0.0002573367,0.0009263186,0.0004731545,0.0005276806,0.0009109917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005102649,"about_ca_system_score_gemma":0.0004588248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841655,"about_ca_topic_score_gemma":0.00281916,"domain_scores_codex":[0.9976991,0.0006093887,0.000699921,0.0002958473,0.0005145414,0.0001812066],"domain_scores_gemma":[0.9916611,0.002088815,0.004063892,0.0002934268,0.001299124,0.0005937132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00014528,0.00002644203,0.998072,0.00003170318,0.00001804938,0.0000969372,0.00002286478,0.00001889293,0.00007215767,0.000004221161,0.0001341517,0.001357215],"study_design_scores_gemma":[0.00001111979,0.000195804,0.9986034,0.00002684973,0.00002732592,0.0005680438,0.0000794366,0.0001234519,0.00008494301,0.000008002998,0.0002669428,0.000004766418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881654,0.001602294,0.0002230997,0.0002181295,0.00002955702,0.0001319421,0.006402123,0.00002383682,0.003203662],"genre_scores_gemma":[0.9959809,0.0003192754,0.0004432702,0.00006792587,0.00004543437,0.0001026016,0.002887361,0.000004450978,0.0001487878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002568904,"threshold_uncertainty_score":0.01075816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460431110467001,"score_gpt":0.2931989779902331,"score_spread":0.2585946668855632,"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."}}