{"id":"W2049897689","doi":"10.3899/jrheum.101248","title":"Clinical and Serological Hallmarks of Systemic Sclerosis Overlap Syndromes","year":2011,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Overlap syndrome; Autoantibody; Polymyositis; Rheumatology; Anti-nuclear antibody; Scleroderma (fungus); Rheumatoid factor; Myositis; Serology; Dermatomyositis; Rheumatoid arthritis; Internal medicine; Systemic disease; Connective tissue disease; Immunopathology; Dermatology; Immunology; Antibody; Autoimmune disease; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005145967,0.0004624052,0.0004461691,0.001137055,0.0003879492,0.0004511231,0.0002884414,0.0005092815,0.002513245],"category_scores_gemma":[0.002707461,0.0002705413,0.0001724863,0.0008312557,0.0004551239,0.0004796242,0.0004536168,0.0002949554,0.0004086584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584788,"about_ca_system_score_gemma":0.0002777398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007597104,"about_ca_topic_score_gemma":0.0007494197,"domain_scores_codex":[0.9994279,0.0001169569,0.00009792486,0.0001306843,0.0001446194,0.00008185269],"domain_scores_gemma":[0.9979718,0.0003750041,0.001033578,0.00006722235,0.0002037732,0.0003485247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000129611,0.00002816838,0.9947484,0.00001976532,0.00002045361,0.001874877,0.0000572524,0.00004201794,0.001502849,0.00002340956,0.0001009078,0.001452235],"study_design_scores_gemma":[0.00001432702,0.00012632,0.9767419,0.00001374432,0.00001551425,0.02247586,0.0001084612,0.0001399968,0.0001427934,0.00002855854,0.000188903,0.000003593261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985619,0.0003642006,0.0001004677,0.00004976264,0.000003710018,0.00001185535,0.0001180615,0.000008818763,0.0007812986],"genre_scores_gemma":[0.9994677,0.0001118599,0.0001171214,0.00002300462,0.00002064848,0.000007432906,0.0001811392,0.00000150316,0.00006966782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002513245,"threshold_uncertainty_score":0.008407712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0877366546801081,"score_gpt":0.2942214880309043,"score_spread":0.2064848333507961,"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."}}