{"id":"W2063383651","doi":"10.1186/ar3937","title":"Longitudinal analysis of mRNA transcripts and plasma proteins to define a biomarker associated with lupus disease activity","year":2012,"lang":"en","type":"article","venue":"Arthritis Research & Therapy","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Canadian Arthritis Network; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Arthritis Society; Lupus Research Alliance; Arthritis Foundation","keywords":"Rheumatology; Biomarker; Systemic lupus erythematosus; Internal medicine; Medicine; Messenger RNA; Disease; Biomarker discovery; Computational biology; Bioinformatics; Immunology; Oncology; Biology; Proteomics; Gene; Genetics","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":[0.002677378,0.0002493903,0.0008002776,0.001314422,0.000209384,0.00005882419,0.000187648,0.0001124416,0.000261201],"category_scores_gemma":[0.000643603,0.0001878102,0.000187132,0.003302658,0.0004524101,0.0002618067,0.00007612394,0.0004053664,0.00001857387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000201981,"about_ca_system_score_gemma":0.0002986852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004755541,"about_ca_topic_score_gemma":0.0009375885,"domain_scores_codex":[0.9952632,0.0007461776,0.0003438577,0.0005117303,0.002002355,0.001132734],"domain_scores_gemma":[0.9968379,0.0005142678,0.0000794349,0.0006598331,0.0006961859,0.00121244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00733734,0.00120531,0.9006428,0.0001205643,0.002594941,0.0001373926,0.001818858,0.000001811731,0.05660719,0.00006645819,0.0003913383,0.02907601],"study_design_scores_gemma":[0.00730984,0.001993858,0.982358,0.001052156,0.0001930538,0.0003204252,0.0003133141,0.0005238163,0.004504209,0.00002433455,0.00113097,0.0002759854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907973,0.004892306,0.0001239567,0.001327992,0.00004268293,0.002318067,0.0001155444,0.0000497518,0.0003324196],"genre_scores_gemma":[0.996596,0.002062206,0.0001626122,0.00003271463,0.00005253412,0.000443592,0.00003482118,0.00005328631,0.0005622422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08171525,"threshold_uncertainty_score":0.7658677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08841924705758562,"score_gpt":0.3591761190513936,"score_spread":0.270756871993808,"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."}}