{"id":"W2586664278","doi":"10.1177/2047487317692664","title":"The haemoglobin glycation index as predictor of diabetes-related complications in the AleCardio trial","year":2017,"lang":"en","type":"article","venue":"European Journal of Preventive Cardiology","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Medicine; Internal medicine; Hazard ratio; Confidence interval; Diabetes mellitus; Glycated hemoglobin; Proportional hazards model; Type 2 diabetes; Cardiology; Gastroenterology; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006587181,0.000156964,0.0007350232,0.0001183257,0.0002897386,0.00004875931,0.0008062138,0.00006386954,0.000007861711],"category_scores_gemma":[0.00212085,0.00009235708,0.0009305651,0.0001135077,0.0005613998,0.0001174605,0.0001112682,0.0005546366,0.00002377844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004891769,"about_ca_system_score_gemma":0.0001449091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003261147,"about_ca_topic_score_gemma":0.00000817413,"domain_scores_codex":[0.99517,0.003147394,0.0008396471,0.0001874204,0.0003997822,0.000255749],"domain_scores_gemma":[0.9971329,0.0003062884,0.001025514,0.001032234,0.0004227464,0.00008032705],"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":[0.01138656,0.0007230104,0.1508516,0.000148519,0.0146962,0.0009414005,0.003490643,0.0006982432,0.001915028,0.001520316,0.0137089,0.7999196],"study_design_scores_gemma":[0.01831591,0.001114149,0.952965,0.0001733946,0.0005252652,0.000211375,0.0002105861,0.00001527927,0.0001265838,0.0006342358,0.02562029,0.00008792659],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634213,0.003205009,0.000753393,0.001414375,0.0009333632,0.001081472,0.00001312013,0.000008844736,0.02916907],"genre_scores_gemma":[0.9984686,0.0003768755,0.00005045028,0.00007952601,0.0007787076,0.00001758637,0.000009378279,0.00002383228,0.0001949824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8021134,"threshold_uncertainty_score":0.3766212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204949707312711,"score_gpt":0.2814154189727506,"score_spread":0.2609204482414795,"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."}}