{"id":"W4390126666","doi":"10.1093/gerona/glad280","title":"Estimating Muscle Mass Using D3-Creatine Dilution: A Narrative Review of Clinical Implications and Comparison With Other Methods","year":2023,"lang":"en","type":"review","venue":"The Journals of Gerontology Series A","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Women and Children’s Health Research Institute; University of Alberta","funders":"Canadian Institutes of Health Research; Killam Trusts; Women and Children's Health Research Institute; Mitacs; Children's Health Research Institute","keywords":"Creatine; Dilution; Narrative; Computational biology; Medicine; Bioinformatics; Psychology; Computer science; Internal medicine; Biology; Literature; Art; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01005941,0.00135378,0.00517765,0.008571818,0.0004368236,0.002826764,0.002840267,0.002324162,0.003212455],"category_scores_gemma":[0.03808495,0.0007804151,0.004202527,0.008513654,0.001429064,0.002832388,0.001396053,0.001587503,0.0005997433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942368,"about_ca_system_score_gemma":0.005061859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003618352,"about_ca_topic_score_gemma":0.006043379,"domain_scores_codex":[0.9946368,0.001431574,0.002099843,0.0006491643,0.001058565,0.0001239187],"domain_scores_gemma":[0.9554924,0.03767942,0.003876919,0.0003964957,0.002377517,0.0001772517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002945446,0.00003694286,0.001659356,0.6867995,0.002127892,0.0002067286,0.00023458,0.0002392273,0.0002088344,0.001085077,0.005350235,0.3017571],"study_design_scores_gemma":[0.0001200151,0.0003082058,0.008095942,0.8715605,0.01382258,0.002014091,0.000473453,0.0002341989,0.0003489499,0.00114018,0.1017955,0.00008647975],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001072978,0.9995314,0.00004961656,0.0001460856,0.00004716501,0.000009476272,0.00002952442,0.000001649044,0.00007775817],"genre_scores_gemma":[0.001692263,0.9976675,0.0002036198,0.0002376361,0.0001043228,0.00003240496,0.00003847146,0.00000231455,0.00002145083],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01005941,"threshold_uncertainty_score":0.05319983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5843949048748149,"score_gpt":0.645415336441604,"score_spread":0.06102043156678905,"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."}}