{"id":"W7161971810","doi":"10.82308/11298","title":"Psoas Muscle Area as a Measure for Sarcopenia and a Predictor of Poor Health Outcomes in Chronic Kidney Disease","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sarcopenia; Kidney disease; Quartile; Hazard ratio; Proportional hazards model; Dialysis; Cohort; Nephrology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009299864,0.0003297315,0.0002454172,0.001441419,0.0004039118,0.0005224581,0.0004079072,0.0003024095,0.001678222],"category_scores_gemma":[0.001522192,0.0001232166,0.0002494679,0.001202918,0.0003028082,0.00027459,0.0005027975,0.0004238809,0.0001708655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005521983,"about_ca_system_score_gemma":0.0004840523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.015841,"about_ca_topic_score_gemma":0.03547477,"domain_scores_codex":[0.9996499,0.00008755545,0.00004883607,0.00005497337,0.0001163296,0.00004236159],"domain_scores_gemma":[0.9985868,0.0001342458,0.0007631101,0.00003798052,0.0002211895,0.000256827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004023323,0.00001320875,0.9991353,0.0000114408,0.00002006958,0.00001362658,0.00001563442,0.00001714223,0.00006474969,0.000003257352,0.00005105945,0.0006142891],"study_design_scores_gemma":[0.000002198331,0.00004388329,0.9997241,0.00000570544,0.000008011703,0.00005988498,0.00002856493,0.00006823548,0.00001390583,0.000003571947,0.00004104812,9.631457e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997502,0.0007543475,0.000106816,0.00004908703,0.000007123125,0.00003129489,0.0008069158,0.000006483206,0.0007359597],"genre_scores_gemma":[0.9989323,0.0001414481,0.0002173918,0.00001176097,0.00000867761,0.0000204808,0.00052118,9.898481e-7,0.0001457033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.015841,"threshold_uncertainty_score":0.0314976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05146368436739133,"score_gpt":0.3842352445736497,"score_spread":0.3327715602062583,"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."}}