{"id":"W1920166020","doi":"10.25011/cim.v32i6.10659","title":"Relationship between hemoglobin and CD40 ligand in prediabetes","year":2009,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prediabetes; Internal medicine; Medicine; Endothelial dysfunction; Endocrinology; Hemoglobin; Type 2 diabetes; Impaired glucose tolerance; Waist; Diastole; Diabetes mellitus; Endothelial activation; Blood pressure; Endothelium; Cardiology; Obesity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003789271,0.0002107904,0.0002955181,0.0005308143,0.0002350108,0.000402156,0.000121635,0.0004030917,0.00133772],"category_scores_gemma":[0.001161032,0.0001466407,0.0001384136,0.0005715485,0.0001987877,0.0001568606,0.0002088124,0.0006226826,0.0001556214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447931,"about_ca_system_score_gemma":0.0001245512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007319839,"about_ca_topic_score_gemma":0.0006609512,"domain_scores_codex":[0.9998173,0.00006006599,0.00001696266,0.00003145446,0.00003913839,0.00003518891],"domain_scores_gemma":[0.9992501,0.0002206176,0.0002857121,0.00002561547,0.00005889039,0.0001590091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006851968,0.00009383333,0.9959003,0.00001058477,0.00004320515,0.0001391955,0.00004365137,0.00003896982,0.0004790699,0.00002000593,0.00006411919,0.002481726],"study_design_scores_gemma":[0.00002006961,0.0002837643,0.9986281,0.00000546704,0.00003250348,0.0005138514,0.00004012795,0.0002155576,0.00009409241,0.00004522502,0.0001188809,0.000002325731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991447,0.0005137898,0.00003537,0.00002677346,0.000004945451,0.000002074441,0.00003828562,0.000001830812,0.0002322423],"genre_scores_gemma":[0.9996485,0.00008908343,0.00005398765,0.00002089103,0.00001458977,0.000002933622,0.00006811323,7.860011e-7,0.0001011861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00133772,"threshold_uncertainty_score":0.004475057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1447527586687644,"score_gpt":0.3592944385164318,"score_spread":0.2145416798476674,"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."}}