{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003161959,0.0001012119,0.0002899529,0.00003847254,0.0003523782,0.00002782959,0.00007104813,0.0003058826,0.00005804269],"category_scores_gemma":[0.0003736696,0.00008695586,0.00009599846,0.00001542912,0.0001666968,0.00007266589,0.00004968769,0.0002001781,0.00002041559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002283726,"about_ca_system_score_gemma":0.0001087591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006279665,"about_ca_topic_score_gemma":7.010536e-7,"domain_scores_codex":[0.9989079,0.00004097295,0.0004797273,0.0003195466,0.00006747968,0.0001843623],"domain_scores_gemma":[0.9991344,0.0001182766,0.0001768301,0.0003043158,0.0001191604,0.0001469836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006222866,0.01464319,0.7085566,0.001972752,0.004679603,0.005470758,0.005220104,0.0010358,0.04942428,0.01961321,0.01762554,0.1655353],"study_design_scores_gemma":[0.007874749,0.000817065,0.8994296,0.0001059653,0.0002429053,0.00111831,0.00003345458,0.08569147,0.000862718,0.002969504,0.0006782403,0.0001759781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868531,0.00006265847,0.008236486,0.001346434,0.0005393383,0.0005261699,0.00004027791,0.00004011315,0.002355468],"genre_scores_gemma":[0.9822337,0.00004736838,0.01496978,0.00006210227,0.0001893269,0.00008176713,0.0001752136,0.00001552177,0.0022252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.190873,"threshold_uncertainty_score":0.3545957,"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."}}