{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402202,0.0001142826,0.0009029182,0.00009430511,0.00004058095,0.000002822895,0.0001755445,0.0002407237,0.0001129069],"category_scores_gemma":[0.0003457533,0.00005660747,0.0002150103,0.00008370906,0.0004910312,0.00004189863,0.00005751084,0.0003204508,0.000008409073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009897658,"about_ca_system_score_gemma":0.00008925405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008038723,"about_ca_topic_score_gemma":0.000001809341,"domain_scores_codex":[0.997918,0.0004384693,0.001194417,0.0000976357,0.0001914344,0.000160084],"domain_scores_gemma":[0.998119,0.0005179069,0.0008028099,0.0002193869,0.0001786685,0.0001622324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009823844,0.0001890804,0.9939405,0.0001488743,0.0004812471,0.00001656477,0.0007939952,8.338669e-7,0.0009677164,0.0002872574,0.0007057957,0.001485807],"study_design_scores_gemma":[0.003110326,0.001589626,0.9206486,0.005587418,0.0008481843,0.06519237,0.002490809,0.00004100005,0.0001495626,0.0002319816,0.00001811072,0.00009199788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802877,0.01864517,0.00004721428,0.0002158345,0.0004070563,0.0001209888,0.000001637348,0.000009132411,0.000265303],"genre_scores_gemma":[0.9668844,0.03282006,0.000155793,0.00009417614,0.00001196933,9.558372e-7,2.657739e-7,0.000009768632,0.00002260222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07329183,"threshold_uncertainty_score":0.2308386,"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."}}