{"id":"W4387372198","doi":"10.1136/rmdopen-2023-003431","title":"Anti-SMN autoantibodies in mixed connective tissue disease are associated with a severe systemic sclerosis phenotype","year":2023,"lang":"en","type":"article","venue":"RMD Open","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; University of Calgary; Hôpital Charles-Le Moyne; Clinique Neuro-Outaouais; Centre Hospitalier de l’Université de Montréal","funders":"Scleroderma Association of British Columbia; Scleroderma Society of Ontario; Université de Montréal","keywords":"Medicine; Autoantibody; Phenotype; Connective tissue disease; Mixed connective tissue disease; Systemic disease; Pathology; Connective tissue; Clinical phenotype; Immunology; Disease; Scleroderma (fungus); Autoimmune disease; Antibody; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000323446,0.0002136447,0.0006285497,0.0001610541,0.0001586105,0.000110085,0.0002144423,0.00009637464,0.0000871428],"category_scores_gemma":[0.0002752276,0.000175322,0.00004840503,0.0006545801,0.00006184158,0.0002308842,0.0002181472,0.0001738924,0.0003353584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698644,"about_ca_system_score_gemma":0.0002083183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002857618,"about_ca_topic_score_gemma":0.0003353217,"domain_scores_codex":[0.9985236,0.0001372001,0.0002938875,0.000365719,0.0002876976,0.0003918846],"domain_scores_gemma":[0.9990172,0.0001245118,0.00016639,0.0003406941,0.0001668139,0.000184333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001152497,0.0002362777,0.9684446,0.001048709,0.0003938041,0.006063555,0.002995234,0.0002938247,0.002427843,0.0005193466,0.01534205,0.001082262],"study_design_scores_gemma":[0.003664809,0.00009370935,0.987034,0.005075715,0.0001215555,0.0000580826,0.002036504,0.0006947748,0.0004448436,0.00007485446,0.000414292,0.0002868374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947551,0.0003919034,0.000006461289,0.000934249,0.0001562241,0.001367963,0.0001504083,0.0002200934,0.002017609],"genre_scores_gemma":[0.9979323,0.0001065594,0.00002899454,0.0003501772,0.00005482633,0.0001218327,0.0001668779,0.00004852594,0.001189937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01858943,"threshold_uncertainty_score":0.7149424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03014007178175688,"score_gpt":0.2743781006852694,"score_spread":0.2442380289035125,"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."}}