{"id":"W2754632628","doi":"10.3899/jrheum.170513","title":"Muscle Deficits in Rheumatoid Arthritis Contribute to Inferior Cortical Bone Structure and Trabecular Bone Mineral Density","year":2017,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Diabetes and Digestive and Kidney Diseases; U.S. Department of Veterans Affairs","keywords":"Medicine; Quantitative computed tomography; Bone mineral; Trabecular bone score; Osteoporosis; Internal medicine; Rheumatoid arthritis; Bone density; Lean body mass; Cortical bone; Tibia; Body mass index; Endocrinology; Sarcopenia; Surgery; Anatomy; Body weight","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003910161,0.0004186496,0.0002492456,0.0006955536,0.0002152694,0.0003712893,0.0001980943,0.0003037442,0.002871429],"category_scores_gemma":[0.001593399,0.0002237182,0.0002146979,0.0005188257,0.0002880418,0.0001563546,0.0003337656,0.0002593612,0.0002903839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001465511,"about_ca_system_score_gemma":0.0001399276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002562072,"about_ca_topic_score_gemma":0.003278587,"domain_scores_codex":[0.9997819,0.00005547032,0.00003013132,0.00004532808,0.00005285822,0.00003426487],"domain_scores_gemma":[0.9992268,0.0001141217,0.0004719367,0.00003769336,0.00007304225,0.0000763928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003957415,0.00004993449,0.9886154,0.0000435447,0.0001425508,0.0001397488,0.00005581671,0.00009686952,0.004531024,0.00002352035,0.00006879048,0.005837042],"study_design_scores_gemma":[0.00001130934,0.00009318368,0.9988194,0.000009544983,0.00004172526,0.0005671584,0.00003231115,0.0001097911,0.000213589,0.0000325379,0.00006805505,0.000001380828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984171,0.0008737488,0.0001597963,0.00004062097,0.000002637117,0.000007423763,0.000104341,0.000007931298,0.0003864833],"genre_scores_gemma":[0.9995751,0.0001244278,0.0001071947,0.00001007355,0.00000470847,0.000003324305,0.00005258716,8.747103e-7,0.0001216739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002871429,"threshold_uncertainty_score":0.009605885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094987729278334,"score_gpt":0.2661082846403527,"score_spread":0.2551584073475693,"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."}}