{"id":"W304454701","doi":"","title":"Investigation of Changes in Levels of AGEs and β2-Microglobulin in Patients with Type 2 Diabetes","year":2014,"lang":"en","type":"article","venue":"Journal of academic and applied studies","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Beta-2 microglobulin; Diabetes mellitus; Type 2 diabetes; Psychology; Mathematics; Computer science; Medicine; Internal medicine; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002026798,0.00006175323,0.0002134374,0.00005120063,0.000009727493,0.000001477642,0.00003618267,0.00007075506,2.213471e-7],"category_scores_gemma":[0.00006240397,0.00004496788,0.000008841372,0.00006281931,0.0001046539,0.000003371535,0.00003425269,0.00008897644,1.756606e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003025935,"about_ca_system_score_gemma":0.000008810279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.268937e-7,"about_ca_topic_score_gemma":0.000005878578,"domain_scores_codex":[0.9995807,0.0000183856,0.0001939635,0.00006598679,0.00006296556,0.00007802022],"domain_scores_gemma":[0.9996399,0.00002517149,0.0002415211,0.00002492433,0.00005068357,0.00001779018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004592457,0.0000114862,0.8587087,0.00005384003,0.00006193249,2.997551e-8,0.0003245095,0.00001174329,0.1364127,0.00002031124,0.00005569427,0.004293068],"study_design_scores_gemma":[0.001353885,0.0004614723,0.8867308,0.0001530512,0.00002411522,9.581544e-8,0.0006150384,0.000002166441,0.1100974,0.0004166518,0.00007369385,0.00007158992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956325,0.004161521,9.552559e-7,0.0001162954,0.00001280764,0.00004733263,0.000003530722,3.791922e-7,0.00002470067],"genre_scores_gemma":[0.9973831,0.002409284,0.0000985713,0.0000810388,0.00001820309,9.32551e-7,0.000001876638,0.000003653341,0.000003339261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0280221,"threshold_uncertainty_score":0.1833737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120809755905645,"score_gpt":0.2334440046133374,"score_spread":0.2213630290227729,"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."}}