{"id":"W2053942330","doi":"10.1053/j.ajkd.2010.10.003","title":"Novel Equations to Estimate Lean Body Mass in Maintenance Hemodialysis Patients","year":2010,"lang":"en","type":"article","venue":"American Journal of Kidney Diseases","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Lean body mass; Hemodialysis; Creatinine; Interquartile range; Cohort; Internal medicine; Urology; Body weight","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":[0.001916125,0.0006937225,0.0008954923,0.000934828,0.0002429941,0.000908211,0.0009859308,0.0006957445,0.001310251],"category_scores_gemma":[0.006833411,0.0004041874,0.000718013,0.0007069787,0.0001353814,0.0008331807,0.0006524138,0.0009249984,0.0003714345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006205734,"about_ca_system_score_gemma":0.0008830623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007202624,"about_ca_topic_score_gemma":0.00769209,"domain_scores_codex":[0.9995385,0.0001516965,0.00005489359,0.0001122241,0.0001094773,0.00003315535],"domain_scores_gemma":[0.99804,0.001077008,0.0002648554,0.00009932694,0.0004776012,0.00004127935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001181592,0.000830665,0.2918895,0.0003276997,0.001475491,0.000304231,0.0001705298,0.2270851,0.005354645,0.006702216,0.01025369,0.4544246],"study_design_scores_gemma":[0.0001264578,0.0001298752,0.04102353,0.00004627965,0.0001901587,0.0001940848,0.00003292189,0.9532209,0.00123611,0.002453315,0.001318452,0.0000279165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3081859,0.002546048,0.6828684,0.0009574242,0.000404085,0.0002205758,0.002290369,0.000776067,0.001751048],"genre_scores_gemma":[0.7067736,0.001121671,0.2865918,0.0002198665,0.0002821647,0.0004073397,0.002215502,0.00009576744,0.002292262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007202624,"threshold_uncertainty_score":0.01432139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006830949543908662,"score_gpt":0.2779819916726287,"score_spread":0.27115104212872,"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."}}