{"id":"W2769239452","doi":"10.2147/opth.s151385","title":"Multivariate prediction model for suspected giant cell arteritis: development and validation","year":2017,"lang":"en","type":"article","venue":"Clinical ophthalmology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Ottawa; University of Calgary; Western University; Université Laval; Queen's University; University of Toronto","funders":"","keywords":"Medicine; Giant cell arteritis; Erythrocyte sedimentation rate; Receiver operating characteristic; Internal medicine; Nomogram; Logistic regression; Interquartile range; Claudication; Retrospective cohort study; Cardiology; Vasculitis; Vascular 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":[0.01245298,0.00121534,0.001095989,0.001976758,0.0004425845,0.001093288,0.001182811,0.0007142155,0.001151855],"category_scores_gemma":[0.02436705,0.0003810679,0.001256316,0.0008850376,0.0003442889,0.0006464068,0.0008928205,0.001438024,0.0004592866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007524431,"about_ca_system_score_gemma":0.001719194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006067835,"about_ca_topic_score_gemma":0.003013792,"domain_scores_codex":[0.9969318,0.00213924,0.0001672724,0.0003206961,0.0003175257,0.0001234165],"domain_scores_gemma":[0.9852715,0.01161464,0.0007956922,0.0005180712,0.001519501,0.0002805851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001651127,0.0008875109,0.6988621,0.0001614258,0.001013595,0.000402825,0.0002535245,0.192702,0.001172275,0.0007157521,0.00338102,0.09879691],"study_design_scores_gemma":[0.00007657083,0.0002883031,0.02437187,0.00004387609,0.000119129,0.000152229,0.00005128094,0.9736743,0.0003611404,0.0004940622,0.0003521552,0.00001507526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8607547,0.0007713227,0.1334616,0.0009465131,0.0001433022,0.0004050934,0.001653555,0.0009952988,0.0008685944],"genre_scores_gemma":[0.9616264,0.0001940172,0.03589112,0.00006868671,0.00004285146,0.0002326893,0.001665752,0.00004235711,0.0002361386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01245298,"threshold_uncertainty_score":0.06585842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09535614849247044,"score_gpt":0.3879993331171128,"score_spread":0.2926431846246424,"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."}}