{"id":"W1529784975","doi":"10.1155/2015/545068","title":"Total and High Molecular Weight Adiponectin Levels and Prediction of Cardiovascular Risk in Diabetic Patients","year":2015,"lang":"en","type":"article","venue":"International Journal of Endocrinology","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Faculty of Medicine and Dentistry, University of Alberta","keywords":"Adiponectin; Medicine; Internal medicine; Insulin resistance; Endocrinology; Diabetes mellitus; Type 2 Diabetes Mellitus; Obesity; Type 2 diabetes; Logistic regression; Risk factor","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":[0.0001568298,0.00008145542,0.0003006845,0.0003082484,0.00000867328,0.000005674608,0.00006063483,0.00003934761,0.0000128317],"category_scores_gemma":[0.0006018342,0.00006941944,0.00008187752,0.00005194648,0.00008159874,0.0001193292,0.00003764776,0.0001235675,7.725017e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004264179,"about_ca_system_score_gemma":0.00007895445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001055623,"about_ca_topic_score_gemma":0.000002485701,"domain_scores_codex":[0.9989528,0.00008295206,0.0004032187,0.0001024802,0.0003508982,0.0001076473],"domain_scores_gemma":[0.9989408,0.00004518458,0.0002239736,0.00007937392,0.0006010431,0.0001095963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005216202,0.0002653854,0.957209,0.0000276295,0.001653543,0.0002973658,0.000337989,0.0005299665,0.0007896108,0.001368742,0.00007854235,0.03692063],"study_design_scores_gemma":[0.006142913,0.0003267971,0.9865292,0.00006557499,0.0003717352,0.0005484399,0.00005348999,0.00008866054,0.002517247,0.0008247341,0.002480356,0.00005086338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942186,0.004272236,0.0003925848,0.0001626356,0.0006234333,0.00009334365,0.00003967119,0.000004330097,0.0001931235],"genre_scores_gemma":[0.9987679,0.0006028611,0.0003659023,0.00003031729,0.0001966041,0.000002808808,0.000009496574,0.00000634929,0.00001780518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03686976,"threshold_uncertainty_score":0.2830842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309522927745787,"score_gpt":0.2467790397198845,"score_spread":0.2336838104424266,"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."}}