{"id":"W4224210638","doi":"10.1016/j.clnu.2022.02.001","title":"Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition (GLIM) diagnosis of malnutrition","year":2022,"lang":"en","type":"article","venue":"Clinical Nutrition","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":357,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Waterloo","funders":"","keywords":"Malnutrition; Medicine; Bioelectrical impedance analysis; Anthropometry; Sarcopenia; Skeletal muscle; Lean body mass; Intensive care medicine; Physical therapy; Body mass index; Pathology; Internal medicine; 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":[0.0160997,0.002360284,0.003091324,0.008181848,0.00201871,0.00314016,0.007079462,0.009899601,0.01473603],"category_scores_gemma":[0.05874522,0.001389695,0.006420935,0.002874588,0.002303243,0.003249606,0.003409859,0.009225583,0.0127769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003262671,"about_ca_system_score_gemma":0.01475883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0388414,"about_ca_topic_score_gemma":0.06281473,"domain_scores_codex":[0.9867176,0.005665263,0.00322561,0.0006557594,0.002839653,0.0008961223],"domain_scores_gemma":[0.9550706,0.01362674,0.002466663,0.0007568025,0.02614476,0.001934512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003965481,0.0007864118,0.01472506,0.001845165,0.0001348056,0.002268516,0.001293193,0.0028866,0.002604823,0.01077665,0.7346895,0.2275926],"study_design_scores_gemma":[0.00159866,0.001149235,0.06703717,0.03328191,0.0005973565,0.01135617,0.004981759,0.01123856,0.006132769,0.03838733,0.8236642,0.0005747484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.02286712,0.05849914,0.271555,0.3695613,0.01925905,0.01597562,0.02331126,0.009026218,0.2099453],"genre_scores_gemma":[0.05902107,0.02382362,0.7710441,0.06158782,0.004214395,0.01889187,0.01753344,0.00197601,0.04190776],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0388414,"threshold_uncertainty_score":0.0851444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3832101221812104,"score_gpt":0.4880565213708253,"score_spread":0.1048463991896149,"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."}}