{"id":"W2800984986","doi":"10.1002/oby.22185","title":"Moderate Weight Loss Improves Body Composition and Metabolic Function in Metabolically Unhealthy Lean Subjects","year":2018,"lang":"en","type":"article","venue":"Obesity","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Singapore Institute for Clinical Sciences; Agency for Science, Technology and Research","keywords":"Internal medicine; Endocrinology; Medicine; Postprandial; Weight loss; Adipose tissue; Triglyceride; Insulin; Hyperinsulinemia; Glucose clamp technique; Insulin resistance; Obesity; Lean body mass; Pancreatic hormone; Cholesterol; Body weight","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006092647,0.0001989457,0.0006030966,0.0001699072,0.0001599831,0.00003469969,0.00005914698,0.0001408123,0.00003557881],"category_scores_gemma":[0.00003726703,0.0001753423,0.0001417899,0.0002635593,0.0001633095,0.0001910957,0.00004964652,0.0002434258,0.00005941963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000399658,"about_ca_system_score_gemma":0.00007633635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003566442,"about_ca_topic_score_gemma":0.001053814,"domain_scores_codex":[0.9985328,0.0001272262,0.0002626374,0.0004186929,0.0002954213,0.000363183],"domain_scores_gemma":[0.9991743,0.00002199482,0.00007040856,0.0003760224,0.0001474675,0.0002097933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005900017,0.002614839,0.163737,0.0009808664,0.001752648,0.0001712627,0.001744217,0.00001180486,0.08729795,0.009457804,0.001418314,0.7249133],"study_design_scores_gemma":[0.002555424,0.0003592208,0.9467004,0.00005130957,0.0003729249,0.00003217288,0.00001613436,0.0005787524,0.03780224,0.0009926371,0.01033907,0.0001996961],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927435,0.00342067,0.001240889,0.000352255,0.0003018293,0.000560236,0.000007571146,0.00009208363,0.001280948],"genre_scores_gemma":[0.9971507,0.0005421677,0.0004989077,0.0007674035,0.000776134,0.00002771755,0.00003938657,0.00002614315,0.0001714154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7829635,"threshold_uncertainty_score":0.7150252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008495697745052898,"score_gpt":0.2361019957655209,"score_spread":0.227606298020468,"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."}}