{"id":"W2027838075","doi":"10.1038/sj.ijo.0803337","title":"Muscle adiposity and body fat distribution in type 1 and type 2 diabetes: varying relationships according to diabetes type","year":2006,"lang":"en","type":"article","venue":"International Journal of Obesity","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; University of Ottawa; Université Laval","funders":"Diabète Québec","keywords":"Type 2 diabetes; Internal medicine; Medicine; Endocrinology; Waist; Diabetes mellitus; Adipose tissue; Body mass index; Glycemic; Insulin resistance; Insulin","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":[0.001232195,0.0003054182,0.0005686919,0.0008618725,0.0004053198,0.0008192592,0.0004302834,0.0006152082,0.00225834],"category_scores_gemma":[0.004214379,0.0005554518,0.0006542802,0.001168889,0.0004130121,0.0006718952,0.0004166847,0.0008715317,0.0003228641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001738953,"about_ca_system_score_gemma":0.0001376588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002227847,"about_ca_topic_score_gemma":0.003860427,"domain_scores_codex":[0.9995161,0.0002178306,0.00005139623,0.00008118029,0.00006618208,0.00006738142],"domain_scores_gemma":[0.9958869,0.002156232,0.001062091,0.0002495582,0.0002233504,0.0004219752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001660142,0.00009461973,0.9947028,0.00001588087,0.0001995292,0.00004370495,0.000130449,0.00004765117,0.0007598806,0.00001941601,0.0000370099,0.00228901],"study_design_scores_gemma":[0.00001056498,0.00009622983,0.9995334,0.000002091725,0.00004661694,0.00007030342,0.00009694093,0.00005727036,0.00003938552,0.00002031161,0.00002457229,0.000002359737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989136,0.0006172972,0.00006286492,0.000038929,0.000008771099,0.000003037096,0.00008068197,0.000002537986,0.000272228],"genre_scores_gemma":[0.9991374,0.0002937457,0.0001296062,0.00004725544,0.00001504348,0.00000414713,0.0001304179,0.000003659969,0.0002387338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00225834,"threshold_uncertainty_score":0.007554889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0319925845104102,"score_gpt":0.3136802312262733,"score_spread":0.281687646715863,"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."}}