{"id":"W2969322277","doi":"10.1177/1177271919870472","title":"Serum Metabolomic Profiles of Rheumatoid Arthritis Patients With Acute-Onset Diffuse Interstitial Lung Disease","year":2019,"lang":"en","type":"article","venue":"Biomarker Insights","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIH Clinical Center; Chugai Pharmaceutical; Pfizer Japan; Nakatomi Foundation; Eisai Canada; Teijin Pharma; Daiichi-Sankyo; Japan Agency for Medical Research and Development; Japan Research Foundation for Clinical Pharmacology; Abbott Japan; Japan Society for the Promotion of Science; Mitsui Sumitomo Insurance Welfare Foundation; Ono Pharmaceutical; Bristol-Myers Squibb; Takeda Science Foundation","keywords":"Medicine; Metabolomics; Internal medicine; Rheumatoid arthritis; Gastroenterology; Univariate analysis; Confidence interval; Interstitial lung disease; Exacerbation; Lung; Multivariate analysis; Bioinformatics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00006349158,0.0002643675,0.0003569338,0.000118405,0.00006832246,0.00002403638,0.0002117775,0.00009044287,0.0000754136],"category_scores_gemma":[0.00003164992,0.0001970492,0.0001297978,0.0001437522,0.0001377065,0.00001297529,0.0002052561,0.00006035618,0.0000151377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001327786,"about_ca_system_score_gemma":0.00007730163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001252357,"about_ca_topic_score_gemma":0.00002659941,"domain_scores_codex":[0.9986774,0.00006774405,0.0002994126,0.0004643482,0.0002174256,0.0002736508],"domain_scores_gemma":[0.9990593,0.00001383985,0.0001784373,0.0004786066,0.0001388985,0.0001309358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005504322,0.001180712,0.7135086,0.0001546006,0.002942369,0.00002764158,0.0001731016,0.00000254967,0.2656121,0.001131471,0.007296008,0.002466537],"study_design_scores_gemma":[0.006492296,0.0005424309,0.8604367,0.0001267624,0.0001112802,0.000007772566,0.00006418627,0.00008363205,0.09895065,0.0001079837,0.03238196,0.000694358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939409,0.004095521,0.0001199264,0.00004144248,0.0004269454,0.0005101149,0.0003819574,0.00001543221,0.0004677431],"genre_scores_gemma":[0.9963772,0.002516642,0.0002977064,0.00007634189,0.00003604608,0.00003553257,0.0003916242,0.00003287585,0.0002360642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1666614,"threshold_uncertainty_score":0.8035432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004582744211286555,"score_gpt":0.2091687733254981,"score_spread":0.2045860291142116,"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."}}