{"id":"W1943492589","doi":"10.3899/jrheum.150232","title":"Utility of Select Plasma MicroRNA for Disease and Cardiovascular Risk Assessment in Patients with Rheumatoid Arthritis","year":2015,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Heart, Lung, and Blood Institute","keywords":"Medicine; Rheumatoid arthritis; microRNA; Internal medicine; Receiver operating characteristic; Subclinical infection; Coronary artery disease; Biomarker; Disease; Arthritis; Gastroenterology; Area under the curve; Oncology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001344716,0.0005990892,0.000590624,0.0008090262,0.0002776535,0.0006888194,0.0001917382,0.0006359611,0.000803389],"category_scores_gemma":[0.004907459,0.0002299538,0.0003834446,0.0005155784,0.0002162342,0.0003317328,0.0002821753,0.0005000998,0.0004211369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447871,"about_ca_system_score_gemma":0.0001764915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002302541,"about_ca_topic_score_gemma":0.0003341416,"domain_scores_codex":[0.9989098,0.000460204,0.0001327263,0.0002173139,0.0002227229,0.0000572265],"domain_scores_gemma":[0.9975625,0.001087004,0.0007576424,0.0001137156,0.0002771826,0.000201919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008132206,0.00007473225,0.9907444,0.00002653095,0.0001028737,0.00007535589,0.00004559425,0.0001343906,0.001954649,0.00001648672,0.000101983,0.005909815],"study_design_scores_gemma":[0.00007361735,0.001052663,0.9919354,0.00002309978,0.0001562094,0.001211337,0.00009639707,0.003188814,0.001659091,0.00008145379,0.0005063974,0.00001558979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956616,0.001860932,0.00102469,0.0001078583,0.00002504032,0.00002689918,0.0003667509,0.00004149572,0.0008847555],"genre_scores_gemma":[0.998381,0.0001503979,0.001068069,0.00003508077,0.0000264269,0.00002277948,0.0001926199,0.000003273183,0.0001203456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001344716,"threshold_uncertainty_score":0.007111609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007031778504528335,"score_gpt":0.2225399151505903,"score_spread":0.2155081366460619,"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."}}