{"id":"W2999448447","doi":"10.1007/s12020-020-02186-8","title":"Relation of adipose tissue insulin resistance to prediabetes","year":2020,"lang":"en","type":"article","venue":"Endocrine","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Beijing Municipal Administration of Hospitals; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Prediabetes; Insulin resistance; Adipose tissue; Internal medicine; Medicine; Endocrinology; Diabetes mellitus; Type 2 diabetes; Waist; Insulin; Obesity; Body mass index; Population; Abdominal obesity","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":[0.0008190356,0.0002877163,0.0003211468,0.0008984806,0.0001918805,0.0006646126,0.0002723784,0.0005734939,0.002575862],"category_scores_gemma":[0.004589204,0.0003425815,0.0004641663,0.001007153,0.0003522008,0.0002347967,0.0003312306,0.001371633,0.0002823664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624146,"about_ca_system_score_gemma":0.0002484799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106678,"about_ca_topic_score_gemma":0.0009693155,"domain_scores_codex":[0.9996531,0.0001822163,0.00002814758,0.0000492224,0.00003474102,0.00005255617],"domain_scores_gemma":[0.9951059,0.002474378,0.001203311,0.0003910018,0.0001933227,0.0006320938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001098786,0.00008582598,0.9942592,0.00001655014,0.0001518648,0.0001885078,0.00003748351,0.000137497,0.0005714485,0.0001196892,0.00006171422,0.003271348],"study_design_scores_gemma":[0.00001288338,0.0001764673,0.9985375,0.000007168655,0.00008897197,0.0004446588,0.00004756761,0.0002274537,0.0001142138,0.0001751557,0.0001643891,0.000003531439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921788,0.004369677,0.0003224506,0.0003642123,0.00003468872,0.000005750704,0.0001868311,0.00001478395,0.002522808],"genre_scores_gemma":[0.9989171,0.0004874829,0.0001140399,0.00004613492,0.0000596699,0.000002656322,0.00008531194,0.000002560006,0.0002850691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002575862,"threshold_uncertainty_score":0.008617163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467460353279672,"score_gpt":0.2512008327747642,"score_spread":0.2365262292419675,"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."}}