{"id":"W2965309120","doi":"10.1007/s00125-019-4951-9","title":"Intrauterine programming of obesity and type 2 diabetes","year":2019,"lang":"en","type":"review","venue":"Diabetologia","topic":"Birth, Development, and Health","field":"Medicine","cited_by":268,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Novo Nordisk Fonden; University of Cambridge; British Heart Foundation; Medical Research Council; Novo Nordisk; Danish Diabetes Academy","keywords":"Epigenome; Type 2 diabetes; Offspring; Obesity; Medicine; Disease; Epigenetics; Gestational diabetes; Fetal programming; Type 2 Diabetes Mellitus; Pregnancy; Bioinformatics; Diabetes mellitus; DNA methylation; Biology; Endocrinology; Internal medicine; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004025261,0.0006551335,0.0009507091,0.001443409,0.000180454,0.0005488971,0.0005162592,0.0007100388,0.002470516],"category_scores_gemma":[0.0007805181,0.0001743366,0.0004466369,0.001417577,0.0002981722,0.0004699052,0.0005507143,0.0009688847,0.0007742129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003859779,"about_ca_system_score_gemma":0.0008921717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148058,"about_ca_topic_score_gemma":0.001695366,"domain_scores_codex":[0.9998527,0.00003369821,0.00002757914,0.00002784551,0.00004259955,0.00001564477],"domain_scores_gemma":[0.9997888,0.0001155018,0.00004042243,0.000005784796,0.00003168732,0.00001785311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000102192,0.00004830304,0.0005494562,0.0265818,0.0001886418,0.0002826811,0.00006506744,0.0003279519,0.0008761591,0.003260839,0.02215151,0.9455655],"study_design_scores_gemma":[0.00002489704,0.0001230184,0.005152846,0.01423206,0.0003877931,0.002747876,0.00009493386,0.0001042549,0.0004817573,0.002893481,0.9737313,0.00002563526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008336427,0.9992511,0.00004037959,0.0001311498,0.00009718342,0.000001257845,0.00001063706,0.0000033015,0.0003815761],"genre_scores_gemma":[0.0004817439,0.9992093,0.0000413236,0.00005674642,0.00006760735,0.000002420632,0.00001320156,5.052082e-7,0.0001271009],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002470516,"threshold_uncertainty_score":0.00826472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06495035277401637,"score_gpt":0.3509802303139536,"score_spread":0.2860298775399372,"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."}}