{"id":"W2979986058","doi":"10.1093/aje/kwz234","title":"Growth During Infancy and Early Childhood and Its Association With Metabolic Risk Biomarkers at 11.5 Years of Age","year":2019,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; University of Bristol; Eunice Kennedy Shriver National Institute of Child Health and Human Development; European Commission; National Institutes of Health; Department of Epidemiology, Biostatistics and Occupational Health, McGill University; National Institute for Health and Care Research; University Hospitals Bristol NHS Foundation Trust; NIHR Bristol Biomedical Research Centre; National University of Singapore; Seventh Framework Programme; Faculty of Medicine, McGill University; McGill University","keywords":"Medicine; Breastfeeding; Birth weight; Body mass index; Pediatrics; Gestational age; Demography; Obesity; Cohort; Cohort study; Small for gestational age; Pregnancy; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001161664,0.0003668545,0.0003126915,0.0008925096,0.0003481692,0.0005325518,0.0003312344,0.000443281,0.0008304276],"category_scores_gemma":[0.002742314,0.0002387317,0.0005330017,0.0007659463,0.0002444916,0.0002806703,0.0006212054,0.0007500756,0.0001060568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000423287,"about_ca_system_score_gemma":0.0005324614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145152,"about_ca_topic_score_gemma":0.01439957,"domain_scores_codex":[0.9994798,0.0001349544,0.00003320989,0.0001164643,0.00006956005,0.0001659578],"domain_scores_gemma":[0.9983169,0.0003638462,0.0007628083,0.0001218921,0.0001269952,0.0003075827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004756807,0.00003370202,0.9960833,0.00002184801,0.00006395379,0.00006485679,0.000121567,0.0001094696,0.0003215472,0.00006652622,0.0001017455,0.002535718],"study_design_scores_gemma":[9.715826e-7,0.0000404464,0.9996815,0.000005652459,0.00001214371,0.00003279887,0.00003780781,0.00005771592,0.00002695925,0.00001258025,0.00009042364,0.000001097837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974384,0.00121636,0.0001660278,0.00006458205,0.00001395054,0.000004629761,0.000589464,0.000006382792,0.0005000706],"genre_scores_gemma":[0.9985909,0.0004087975,0.0002002303,0.00001910892,0.00001141679,0.00001260484,0.0004813265,0.000003658916,0.0002720178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0145152,"threshold_uncertainty_score":0.0288614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109826698986347,"score_gpt":0.2766514539393762,"score_spread":0.2655531869495127,"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."}}