{"id":"W2997106919","doi":"10.3390/ijerph17010182","title":"Community Determinants of Physical Growth and Cognitive Development among Indian Children in Early Childhood: A Multivariate Multilevel Analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"College of Medicine, Seoul National University; Seoul National University","keywords":"Multivariate statistics; Multilevel model; Multivariate analysis; Psychology; Cognition; Cognitive development; Early childhood; Gerontology; Test (biology); Longitudinal study; Child development; Demography; Developmental psychology; Medicine; Statistics; Sociology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001813665,0.0005421023,0.0006460259,0.001523855,0.001249944,0.001534903,0.001047123,0.0004781797,0.002104879],"category_scores_gemma":[0.003332406,0.0005121498,0.002672801,0.002264492,0.0005809693,0.0005406343,0.001523801,0.00133516,0.0002136183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007558,"about_ca_system_score_gemma":0.001790944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1365948,"about_ca_topic_score_gemma":0.09764269,"domain_scores_codex":[0.9983009,0.0006308293,0.000101035,0.0003407651,0.0002022636,0.0004242905],"domain_scores_gemma":[0.9978689,0.0006443748,0.0004938407,0.000424663,0.0002575309,0.0003107766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006487042,0.00005797395,0.9958442,0.00001339336,0.0004805773,0.0001012859,0.0003522683,0.0006542509,0.000157905,0.0001276633,0.0001770999,0.001968531],"study_design_scores_gemma":[0.000006599184,0.0001110877,0.9879308,0.00002628999,0.0004268947,0.0001314857,0.00144117,0.009331804,0.0001061213,0.0001438312,0.0003187416,0.00002524139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984987,0.0001051962,0.0005405275,0.0001086319,0.000007112924,0.00001682878,0.0004029907,0.00002341951,0.0002965233],"genre_scores_gemma":[0.9987703,0.00006603664,0.000632002,0.000009866893,0.000006715789,0.0000229501,0.0003317045,0.000007472724,0.0001529751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1365948,"threshold_uncertainty_score":0.2715995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380865068727987,"score_gpt":0.3623728699573714,"score_spread":0.3242863630845727,"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."}}