{"id":"W3208852375","doi":"10.1371/journal.pmed.1003838","title":"Early childhood undernutrition, preadolescent physical growth, and cognitive achievement in India: A population-based cohort study","year":2021,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Center for Chronic Disease Prevention and Health Promotion; National Institute on Minority Health and Health Disparities; National Institute of Child Health and Human Development; National Institute of General Medical Sciences; National Institutes of Health","keywords":"Medicine; Preadolescence; Anthropometry; Malnutrition; Demography; Body mass index; Confidence interval; Cohort; Cohort study; Odds ratio; Population; Child development; Pediatrics; Gerontology; Environmental health; Psychology; Developmental psychology","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":[0.000120467,0.0001805694,0.0003770489,0.000185357,0.0000981557,0.00003192502,0.00006494447,0.00004890803,0.00002508519],"category_scores_gemma":[0.0002059531,0.0001618324,0.00003216664,0.0003688087,0.00005850479,0.0001065084,0.00003399114,0.0002542438,0.000003968222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006708875,"about_ca_system_score_gemma":0.00001743075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002878165,"about_ca_topic_score_gemma":0.00004954865,"domain_scores_codex":[0.9983712,0.000206663,0.0003185199,0.0004230411,0.0004653045,0.0002153067],"domain_scores_gemma":[0.9993631,0.0001849021,0.0000734336,0.0001398933,0.0001174516,0.0001212397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001544009,0.007347928,0.9887373,0.0001076988,0.00006439503,0.00005333123,0.003076385,3.840948e-7,0.0001837939,0.00002470538,0.00004081257,0.000208893],"study_design_scores_gemma":[0.00967121,0.000588704,0.9838974,0.001055668,0.0002454728,0.000004525856,0.0007685056,0.00004746041,0.00282086,0.000734418,0.000001737117,0.0001639629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919877,0.0001491587,0.00002723413,0.006118846,0.0001281573,0.001361947,0.00001775196,0.00005833987,0.0001508562],"genre_scores_gemma":[0.9975876,0.000008637298,0.00001640834,0.001600045,0.0003844541,0.00009257119,0.0002827463,0.0000230741,0.0000045103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009516809,"threshold_uncertainty_score":0.6599333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294687619572983,"score_gpt":0.2677824426729935,"score_spread":0.2548355664772637,"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."}}