{"id":"W2928276802","doi":"10.1093/rheumatology/kez058.024","title":"084. DISCOVERY AND VALIDATION OF A NOVEL ANGIOGRAPHIC CLASSIFICATION SCHEME IN TAKAYASU’S ARTERITIS","year":2019,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; St. Joseph's Hospital; University of Toronto","funders":"","keywords":"Medicine; Takayasu arteritis; Classification scheme; Arteritis; Takayasu's arteritis; Radiology; Vasculitis; Internal medicine; Machine learning; Disease; Computer science","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":[0.005274712,0.0005467886,0.0004535022,0.001697975,0.0007532929,0.00185263,0.0009061858,0.0008463657,0.001849537],"category_scores_gemma":[0.00956724,0.0002639604,0.0005613276,0.001452781,0.0005438083,0.0005483648,0.0009556168,0.0005824585,0.001197334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005618165,"about_ca_system_score_gemma":0.001046085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002639266,"about_ca_topic_score_gemma":0.002833481,"domain_scores_codex":[0.9982511,0.0006015833,0.0001537056,0.0003853714,0.0003801832,0.0002278962],"domain_scores_gemma":[0.9936368,0.001344912,0.001676067,0.0008458038,0.001845248,0.0006511729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008502841,0.0001448026,0.9749599,0.00004908229,0.0001559262,0.0001272749,0.0002355649,0.0006248847,0.004811659,0.0001996321,0.000967665,0.01687334],"study_design_scores_gemma":[0.000151589,0.0005866629,0.9791527,0.00004399837,0.0002606486,0.001122149,0.0005141714,0.01313367,0.001891847,0.0006792622,0.002429784,0.0000334446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937944,0.0001137533,0.0029959,0.0001195156,0.00004615442,0.00009159558,0.001366031,0.00005085524,0.001421769],"genre_scores_gemma":[0.9904504,0.00004280953,0.006101761,0.00004298594,0.00002715638,0.00008481261,0.002896341,0.00001818994,0.0003355831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005274712,"threshold_uncertainty_score":0.02789569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824234750208156,"score_gpt":0.2523241901763393,"score_spread":0.2340818426742577,"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."}}