{"id":"W2896259415","doi":"10.1053/j.jrn.2018.08.006","title":"Global Prevalence of Protein-Energy Wasting in Kidney Disease: A Meta-analysis of Contemporary Observational Studies From the International Society of Renal Nutrition and Metabolism","year":2018,"lang":"en","type":"review","venue":"Journal of Renal Nutrition","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":444,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; University Health Network","funders":"U.S. Department of Veterans Affairs","keywords":"Medicine; Wasting; Observational study; Meta-analysis; Kidney disease; Intensive care medicine; Disease; Energy metabolism; Wasting Syndrome; Internal medicine; Gerontology; Physiology; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006544319,0.002042567,0.009424864,0.002601646,0.0004600258,0.002086462,0.001635221,0.001556303,0.002234898],"category_scores_gemma":[0.01351745,0.001442696,0.02498426,0.004242427,0.0004495311,0.001432247,0.001695731,0.001642433,0.0002255772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007335117,"about_ca_system_score_gemma":0.00121114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004784046,"about_ca_topic_score_gemma":0.01113179,"domain_scores_codex":[0.9957227,0.001562437,0.001309309,0.0008384756,0.0003865665,0.0001806015],"domain_scores_gemma":[0.9921635,0.005390185,0.001342644,0.0004798253,0.000488393,0.0001354154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002307715,0.00003088138,0.05074724,0.06588073,0.8634706,0.0001552133,0.0001156577,0.0003589288,0.0003428471,0.0001353437,0.0005792713,0.01587562],"study_design_scores_gemma":[0.0003221438,0.0001422428,0.03720777,0.003854939,0.9559884,0.0001804269,0.00008161373,0.0001790095,0.0001056743,0.0002440487,0.001657049,0.00003672933],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02329637,0.9748524,0.000697078,0.0001583892,0.0001462273,0.00004614261,0.0006128456,0.00002124135,0.0001692182],"genre_scores_gemma":[0.4917707,0.5017093,0.003112778,0.0009283608,0.0003606546,0.0001693868,0.001568157,0.0000439134,0.000336924],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009424864,"threshold_uncertainty_score":0.03461009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1762502783627377,"score_gpt":0.3725204011844184,"score_spread":0.1962701228216808,"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."}}