{"id":"W2810692856","doi":"10.3899/jrheum.171428","title":"Assessing Vasculitis in Giant Cell Arteritis by Ultrasound: Results of OMERACT Patient-based Reliability Exercises","year":2018,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università degli Studi di Ferrara; Universidade de Lisboa; Leids Universitair Medisch Centrum; Odense Universitetshospital; Universiteit Leiden; Pomorski Uniwersytet Medyczny W Szczecinie; Anglia Ruskin University","keywords":"Medicine; Giant cell arteritis; Rheumatology; Arteritis; Vasculitis; Halo sign; Radiology; Internal medicine; Surgery; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0414096,0.0007361717,0.0007526769,0.001050835,0.0004333495,0.000681741,0.0005833138,0.000805139,0.0006197427],"category_scores_gemma":[0.0840805,0.0003382955,0.001398266,0.000587396,0.0008488933,0.0009211531,0.001755085,0.0005909852,0.0002816308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002814909,"about_ca_system_score_gemma":0.0002488365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004589164,"about_ca_topic_score_gemma":0.0005394308,"domain_scores_codex":[0.9745576,0.01541251,0.002633528,0.002447103,0.004518986,0.0004303001],"domain_scores_gemma":[0.9163318,0.05303374,0.0111062,0.006326835,0.01220501,0.0009964653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01042593,0.00120657,0.8879803,0.0007058827,0.003166306,0.0002373097,0.01091555,0.003245571,0.005754279,0.0002395346,0.001152189,0.07497056],"study_design_scores_gemma":[0.0004820617,0.006305743,0.9794286,0.000127901,0.0007675267,0.0004795544,0.00106127,0.006054959,0.003149121,0.0002472354,0.001798831,0.00009716063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933619,0.0006735292,0.003954327,0.00006810277,0.00005960042,0.0002577665,0.0001695734,0.0000638482,0.00139134],"genre_scores_gemma":[0.9974976,0.00006544094,0.001933493,0.00002003363,0.00002314853,0.000102234,0.0001502327,0.00001544914,0.0001924447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0414096,"threshold_uncertainty_score":0.2189975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008693582344194982,"score_gpt":0.2573316518454035,"score_spread":0.2486380695012085,"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."}}