{"id":"W4408559551","doi":"10.1016/j.ard.2025.01.050","title":"The role of multicriteria decision analysis in the development of candidate classification criteria for antisynthetase syndrome: analysis from the CLASS project","year":2025,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Istituto di Ricovero e Cura a Carattere Scientifico; EMD Serono; National Institutes of Health; Nordic Pharma Group; Department of Health and Social Care; National Institute for Health and Care Research; Canadian Anesthesiologists' Society; National Institute of Environmental Health Sciences; Horizon Therapeutics; Manchester Biomedical Research Centre; Alexion Pharmaceuticals; AstraZeneca; Bristol-Myers Squibb; Eli Lilly and Company; American College of Rheumatology Research and Education Foundation; Pfizer; PTC Therapeutics","keywords":"Antisynthetase syndrome; Medicine; Class (philosophy); Artificial intelligence; Computer science; Immunology; Autoantibody","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":[0.0009639251,0.0001557782,0.0006273446,0.0002614722,0.0002438002,0.000045917,0.0005583407,0.00004722147,0.00002141346],"category_scores_gemma":[0.0008906822,0.00006724329,0.0005663458,0.001536703,0.0002011532,0.00006277278,0.00009909114,0.00006377736,6.559545e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001810704,"about_ca_system_score_gemma":0.0002350382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003931122,"about_ca_topic_score_gemma":0.0004214348,"domain_scores_codex":[0.9978086,0.0003552978,0.00104615,0.0001915072,0.0004114457,0.0001869885],"domain_scores_gemma":[0.996227,0.001935965,0.0005418896,0.0009918162,0.0002740509,0.0000293367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005136003,0.002636324,0.663781,0.002305087,0.03727679,0.00001254922,0.02614205,0.0006322303,0.004916698,0.00448295,0.009602335,0.2430759],"study_design_scores_gemma":[0.000537346,0.00003015517,0.9574004,0.0008037408,0.004949779,0.000001363821,0.005261229,0.02430429,0.004378195,0.001547709,0.0006982349,0.00008758113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945248,0.001656231,0.0008054086,0.001493786,0.0000610961,0.0009119922,0.0004762046,0.000006688608,0.00006377321],"genre_scores_gemma":[0.9987985,0.0002335747,0.0005407466,0.0001531587,0.000005509244,0.0001378601,0.0001078234,0.000007383346,0.00001544324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2936193,"threshold_uncertainty_score":0.2742102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03047181455110507,"score_gpt":0.3537909601718494,"score_spread":0.3233191456207443,"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."}}