{"id":"W4210930576","doi":"10.1093/rheumatology/keac094","title":"Predictors of rapidly progressive interstitial lung disease and mortality in patients with autoantibodies against melanoma differentiation-associated protein 5 dermatomyositis","year":2022,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Internal medicine; Interstitial lung disease; Hazard ratio; Dermatomyositis; Gastroenterology; Proportional hazards model; Autoantibody; Lactate dehydrogenase; Confidence interval; Immunology; Lung; Antibody","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118882,0.0001983533,0.0004118169,0.0001603356,0.0001656784,0.00002341136,0.00008880482,0.00005137494,0.00005834324],"category_scores_gemma":[0.00005040865,0.0001764711,0.00006827986,0.0001986529,0.0001255082,0.0001561421,0.0001592238,0.0002298938,5.655454e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474505,"about_ca_system_score_gemma":0.0001185605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004048276,"about_ca_topic_score_gemma":0.00001868141,"domain_scores_codex":[0.9983444,0.0001665923,0.0004085509,0.0002802798,0.0005279076,0.0002722419],"domain_scores_gemma":[0.9992136,0.00002389477,0.0002728876,0.0002244777,0.0001190116,0.0001461299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000780944,0.0004125452,0.9963477,0.0002970731,0.0002693113,0.0003481444,0.001077235,0.00001245699,0.0001039563,0.00007563974,0.000111058,0.0001639494],"study_design_scores_gemma":[0.004335538,0.0002973774,0.992914,0.0003795533,0.0001783648,0.000006133061,0.0001803183,0.001239955,0.0002253615,0.00002015953,0.0000397879,0.0001834242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974915,0.0002882003,0.00001425622,0.0001076148,0.0001043344,0.001431519,0.0003738622,0.00006715747,0.0001215361],"genre_scores_gemma":[0.9988681,0.000007018341,0.00003010886,0.0001173555,0.0000323896,0.0002382414,0.000655786,0.00002715173,0.00002385926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003554594,"threshold_uncertainty_score":0.7196282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00422713444413054,"score_gpt":0.2164662156160511,"score_spread":0.2122390811719206,"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."}}