{"id":"W2793490584","doi":"10.1038/s41431-018-0109-3","title":"Genetic determinants of glycated hemoglobin levels in the Greenlandic Inuit population","year":2018,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"Diet and metabolism studies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Comisión de Investigaciones Científicas; Novo Nordisk Foundation Center for Basic Metabolic Research; Medical Research Council; Steno Diabetes Center Copenhagen; Novo Nordisk; Copenhagen Graduate School for Nanoscience and Nanotechnology; Lundbeckfonden; Novo Nordisk Fonden","keywords":"Glycated hemoglobin; Genetics; Hemoglobin variants; Hemoglobin; Population; Biology; Evolutionary biology; Medicine; Diabetes mellitus; Environmental health; Endocrinology; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007270849,0.000107725,0.000294701,0.0001581256,0.00005769665,0.00001143638,0.0002077033,0.00001762375,0.00003906005],"category_scores_gemma":[0.00006263182,0.00006941973,0.00007979428,0.0001581787,0.000123049,0.0000245651,0.00004473639,0.0001351701,0.00001225762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001613263,"about_ca_system_score_gemma":0.00002993161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008521994,"about_ca_topic_score_gemma":0.00007547002,"domain_scores_codex":[0.9985752,0.0002522588,0.0006501703,0.00008441469,0.0002871002,0.0001508392],"domain_scores_gemma":[0.9991467,0.00001919305,0.0003919373,0.0001927577,0.0001986773,0.00005075592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001550786,0.0002173409,0.8906211,0.00007495802,0.00007650516,0.0004929756,0.01338577,0.000008639231,0.01666545,0.00001573463,0.00107474,0.07721177],"study_design_scores_gemma":[0.001298758,0.001217336,0.994926,0.0001372707,0.0001208115,0.000131507,0.0002600079,0.00001564431,0.001002772,0.00008701962,0.0007365888,0.00006624895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974477,0.001031142,0.00002280297,0.00004502953,0.00019609,0.0001118668,0.000002745503,0.000003278184,0.001139327],"genre_scores_gemma":[0.9982071,0.0001145538,0.0008232337,0.000122093,0.0005980091,2.236936e-7,7.073549e-7,0.00001976898,0.000114331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.104305,"threshold_uncertainty_score":0.2830854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04805376139826024,"score_gpt":0.3100220919306164,"score_spread":0.2619683305323561,"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."}}