{"id":"W4413831740","doi":"10.1111/ijpo.70051","title":"Development and Application of Children's Sex‐ and Age‐Specific Fat‐Mass and Muscle‐Mass Reference Curves From Dual‐Energy X‐Ray Absorptiometry Data for Predicting Cardiometabolic Risk","year":2025,"lang":"en","type":"article","venue":"Pediatric Obesity","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; McGill University; Université de Montréal; Concordia University","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds de recherche du Québec – Nature et technologies; Université Laval; Université de Montréal; Concordia University; McGill University; Heart and Stroke Foundation of Canada","keywords":"Medicine; Dual-energy X-ray absorptiometry; Dual energy; Muscle mass; Fat mass; Body mass index; Bone mass; Internal medicine; Endocrinology; Osteoporosis; Bone mineral","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006161683,0.0001558799,0.0004570223,0.0003578629,0.0002197277,0.00002384488,0.0001014386,0.0001073035,0.000003530196],"category_scores_gemma":[0.0001358242,0.0001538729,0.00002067684,0.0004909635,0.00006138875,0.0001012994,0.0001571461,0.0001745909,4.62714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003323721,"about_ca_system_score_gemma":0.00007353564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003332653,"about_ca_topic_score_gemma":0.00002469926,"domain_scores_codex":[0.9985522,0.00005785316,0.0004267272,0.000550018,0.0002076721,0.0002055473],"domain_scores_gemma":[0.9988592,0.0002642011,0.0002141448,0.00042431,0.00009126661,0.0001469179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003653064,0.00008660094,0.9506984,0.001185599,0.00006717438,0.00000107922,0.0001143316,6.774243e-7,0.0005902261,0.0001534891,0.0006855716,0.04638034],"study_design_scores_gemma":[0.001474648,0.00002427686,0.9873121,0.0001010409,0.0003196198,0.000001831207,0.00009684265,0.0004335756,0.0002892492,0.0003886048,0.009424502,0.0001337036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425275,0.02590979,0.03001727,0.0001667554,0.0000869248,0.0005565695,0.000547973,0.00005711143,0.0001301244],"genre_scores_gemma":[0.9282618,0.04377615,0.02662594,0.0001335144,0.0003868242,0.00004834093,0.0007149845,0.00001271853,0.00003978535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04624664,"threshold_uncertainty_score":0.6274757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949087129403061,"score_gpt":0.2939319350062672,"score_spread":0.2644410637122366,"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."}}