{"id":"W1989501057","doi":"10.1038/jid.2014.316","title":"From Pathogenesis, Epidemiology, and Genetics to Definitions, Diagnosis, and Treatments of Cutaneous Lupus Erythematosus and Dermatomyositis: A Report from the 3rd International Conference on Cutaneous Lupus Erythematosus (ICCLE) 2013","year":2014,"lang":"en","type":"article","venue":"Journal of Investigative Dermatology","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; University of California, San Francisco; Office of Research and Development; U.S. Department of Veterans Affairs","keywords":"Cutaneous Lupus Erythematosus; Dermatomyositis; Dermatology; Medicine; Epidemiology; Lupus erythematosus; Systemic lupus erythematosus; Pathogenesis; Immunology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003131191,0.0004143736,0.001335124,0.0002134004,0.0001883024,0.00004344055,0.0002105358,0.0002788661,0.00003858336],"category_scores_gemma":[0.00125112,0.0002994107,0.0001361203,0.0001017162,0.001090652,0.0001083581,0.0001773178,0.0003901292,0.000009083458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005977262,"about_ca_system_score_gemma":0.0001437281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001725398,"about_ca_topic_score_gemma":0.00005416008,"domain_scores_codex":[0.996704,0.0006464682,0.001512021,0.00044527,0.0003324409,0.0003597414],"domain_scores_gemma":[0.9947746,0.002532672,0.001308019,0.0003991444,0.0004789384,0.0005066491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.0008257048,0.0002855219,0.940668,0.0001889636,0.001487604,0.01552916,0.00587507,0.00002141219,0.009503656,0.005980839,0.01691272,0.002721362],"study_design_scores_gemma":[0.005062839,0.001127627,0.07277485,0.002078268,0.001240063,0.8069025,0.003229596,0.00171105,0.03211723,0.06728939,0.005832299,0.0006342267],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734386,0.005217817,0.0003356182,0.01963269,0.0005364079,0.0004295608,0.0002255557,0.00002121571,0.0001625776],"genre_scores_gemma":[0.9773138,0.008202842,0.01011303,0.003994123,0.0002124875,0.00004523217,0.00006500344,0.00003862612,0.00001486276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8678932,"threshold_uncertainty_score":0.9999458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04738514748759257,"score_gpt":0.2920947216506581,"score_spread":0.2447095741630656,"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."}}