{"id":"W4399483266","doi":"10.1136/annrheumdis-2024-eular.3269","title":"OP0005 NAVIGATING COMPLEXITIES OF MULTIPLE POSITIVE MYOSITIS AUTOANTIBODIES: ANALYSIS FROM CLASSIFICATION CRITERIA OF ANTI-SYNTHETASE SYNDROME (CLASS) PROJECT","year":2024,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Autoantibody; Myositis; Class (philosophy); Computer science; Computational biology; Medicine; Artificial intelligence; Antibody; Immunology; Biology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002704953,0.0004361572,0.0004089951,0.003008974,0.0009356309,0.001564912,0.001084547,0.0006112276,0.004014259],"category_scores_gemma":[0.01823077,0.0001509561,0.0008099948,0.002084796,0.0004878062,0.0008568591,0.00262978,0.0006622385,0.000595859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006394605,"about_ca_system_score_gemma":0.001530829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008627799,"about_ca_topic_score_gemma":0.01129032,"domain_scores_codex":[0.9969814,0.0009725669,0.0003737074,0.0004530536,0.0008024059,0.0004168544],"domain_scores_gemma":[0.9897685,0.003958705,0.003001099,0.000459234,0.001870014,0.0009423926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002023593,0.00003318587,0.9892755,0.00004385991,0.0000743884,0.0002422536,0.000221812,0.0002152114,0.0004302847,0.0002471339,0.001108136,0.007905995],"study_design_scores_gemma":[0.00002064101,0.00008710501,0.9888741,0.00009642178,0.0001587484,0.001901407,0.001285848,0.003245383,0.0003804024,0.0007821767,0.003149672,0.00001804304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941254,0.0003259527,0.000835525,0.0002601174,0.00001365531,0.0000638472,0.002116451,0.00001554616,0.002243554],"genre_scores_gemma":[0.9967719,0.00006260964,0.0009656437,0.00004357041,0.000009326883,0.00003646684,0.001876581,0.00002315221,0.0002108472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008627799,"threshold_uncertainty_score":0.01715517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05501190967445083,"score_gpt":0.352352670726371,"score_spread":0.2973407610519202,"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."}}