{"id":"W2796115591","doi":"10.69645/gvji5361","title":"An approach to giant cell arteritis (GCA)","year":2018,"lang":"en","type":"article","venue":"The biomedical & life sciences collection.","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Giant cell arteritis; Arteritis; Medicine; 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":[0.001417328,0.0006017548,0.000437678,0.005242971,0.001841307,0.001968822,0.0009553026,0.001414334,0.008482062],"category_scores_gemma":[0.002130429,0.0003351472,0.000600456,0.001904754,0.001761246,0.001500133,0.003578124,0.003208337,0.003758299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207935,"about_ca_system_score_gemma":0.003322313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002869937,"about_ca_topic_score_gemma":0.009867422,"domain_scores_codex":[0.9989532,0.0003064616,0.0001282397,0.0001295002,0.0003359716,0.0001465712],"domain_scores_gemma":[0.9989548,0.0001731806,0.00007818736,0.0001518805,0.0003913351,0.0002505745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000324823,0.000800435,0.01075239,0.001666624,0.00007366588,0.01344107,0.001417672,0.0002431613,0.02729062,0.07425864,0.1371676,0.7325633],"study_design_scores_gemma":[0.0001261357,0.0003605419,0.01876343,0.0009945252,0.000086425,0.03684472,0.001118503,0.0003143739,0.002596038,0.0377767,0.9009641,0.00005457341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06646729,0.1793515,0.1934966,0.2433929,0.04417558,0.003045661,0.002932451,0.001363716,0.2657743],"genre_scores_gemma":[0.1845366,0.2804736,0.2010962,0.1179664,0.04194351,0.002883657,0.003740974,0.0004434053,0.1669157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008482062,"threshold_uncertainty_score":0.02837533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748729460863517,"score_gpt":0.2753813149160977,"score_spread":0.2578940203074626,"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."}}