{"id":"W2913129671","doi":"10.1097/rhu.0000000000000995","title":"Numerous Cotton Wool Spots From Giant Cell Arteritis","year":2019,"lang":"en","type":"article","venue":"JCR Journal of Clinical Rheumatology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Spots; Giant cell arteritis; Wool; Cotton wool spots; Medicine; Pathology; Geography; Vasculitis; Disease; Archaeology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005520782,0.0001495763,0.001311031,0.0001081657,0.00003998314,0.00001512207,0.0001709751,0.0004892052,0.003425763],"category_scores_gemma":[0.0004491874,0.0001105153,0.0006503007,0.00009532912,0.0001334503,0.00008984567,0.00003620686,0.001207118,0.001231131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002322581,"about_ca_system_score_gemma":0.0002784111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004316179,"about_ca_topic_score_gemma":0.000003926144,"domain_scores_codex":[0.9970728,0.0002137763,0.001932206,0.0002223974,0.0002832297,0.0002755867],"domain_scores_gemma":[0.9973827,0.0008766553,0.0008450658,0.0003147693,0.0002023312,0.000378456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002161386,0.003025954,0.8577089,0.0002274993,0.00231168,0.005817083,0.0006406796,0.00003070632,0.002594232,0.002570512,0.05149412,0.07141726],"study_design_scores_gemma":[0.03097083,0.004275761,0.8581413,0.001814371,0.0009147102,0.02033211,0.0005847228,0.0004854691,0.0005176575,0.006379113,0.07510392,0.0004800262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864628,0.00148503,0.0002984617,0.005392694,0.003148168,0.0001509806,0.00001666118,0.00001848941,0.003026747],"genre_scores_gemma":[0.9931109,0.003811252,0.001474874,0.0007468569,0.0001820416,0.000001375067,0.00001790749,0.00002322445,0.0006315563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07093723,"threshold_uncertainty_score":0.9995465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808419916294878,"score_gpt":0.3264851333346799,"score_spread":0.3084009341717311,"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."}}