{"id":"W2599568052","doi":"10.1002/oby.21808","title":"Cardiometabolic risk factors in type 2 diabetes with high fat and low muscle mass: At baseline and in response to exercise","year":2017,"lang":"en","type":"article","venue":"Obesity","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montfort Hospital; University of Ottawa; University of Calgary; University of Alberta Hospital; University of Alberta","funders":"Canadian Institutes of Health Research; Canadian Diabetes Association","keywords":"Medicine; Internal medicine; Endocrinology; Adipose tissue; Type 2 diabetes; Body mass index; Skeletal muscle; Insulin resistance; Diabetes mellitus; Triglyceride; Fat mass; Cholesterol","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":[0.0005825654,0.00009534292,0.0003186512,0.0001909335,0.0001447696,0.00002252549,0.00004196207,0.00005343826,0.00003431191],"category_scores_gemma":[0.0003044801,0.00007699968,0.00001157246,0.0001170773,0.00005484567,0.00006668008,0.0000562489,0.000138012,0.000009331882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000609422,"about_ca_system_score_gemma":0.00002333951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006455144,"about_ca_topic_score_gemma":0.0005694225,"domain_scores_codex":[0.9992619,0.00009177047,0.0001230397,0.0002138129,0.0001090383,0.0002005069],"domain_scores_gemma":[0.9993562,0.00009047151,0.00004843034,0.0002761522,0.00003514575,0.0001936161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009813642,0.00004637491,0.9935389,0.0001081462,0.000003446963,0.0000255069,0.0002307336,0.000001888066,0.003266735,0.00000138063,0.0001271951,0.00166833],"study_design_scores_gemma":[0.001839159,0.00009544506,0.9938283,0.0003282004,0.00002090909,9.254526e-7,0.00006230838,0.00006184197,0.002231299,0.00002643287,0.001418954,0.00008621709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981407,0.00048633,0.000002839485,0.0009202145,0.0000633873,0.0003058881,0.00002079485,0.00001560381,0.00004422184],"genre_scores_gemma":[0.9982808,0.0007194768,0.0005457356,0.0001637627,0.00003593936,0.000008125112,0.000005520571,0.00001039741,0.0002302717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001582113,"threshold_uncertainty_score":0.3139956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784784974891939,"score_gpt":0.2822529186404302,"score_spread":0.2644050688915108,"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."}}