{"id":"W1987891581","doi":"10.1016/j.aogh.2015.02.775","title":"Household social capital and socioeconomic inequalities in child undernutrition in rural India: Exploring institutional and organizational ties","year":2015,"lang":"en","type":"article","venue":"Annals of Global Health","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Social capital; Socioeconomic status; Inequality; Malnutrition; Social inequality; Socioeconomics; Capital (architecture); Demographic economics; Social mobility; Economic growth; Geography; Sociology; Economics; Demography; Social science; Population","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":[0.0002899447,0.0001047959,0.000233762,0.000118437,0.0001167884,0.00003769888,0.00005317162,0.00006843209,0.000003045592],"category_scores_gemma":[0.00002373211,0.0001197012,0.00001925207,0.0001357139,0.0001456208,0.0004989243,0.00004569996,0.0001142036,0.000001253773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002369623,"about_ca_system_score_gemma":0.0001108828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642872,"about_ca_topic_score_gemma":0.0009236037,"domain_scores_codex":[0.9990423,0.00008813244,0.0003608202,0.0001475332,0.000140284,0.0002208961],"domain_scores_gemma":[0.9996939,0.00002200454,0.0000968315,0.00003879124,0.00004781391,0.0001006082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003594152,0.0003673644,0.9324121,0.0003209736,0.00001204837,0.000004187132,0.00961383,0.00003868383,0.00000215391,0.05412168,0.00159334,0.001154214],"study_design_scores_gemma":[0.002204169,0.0001641474,0.9557317,0.0001724876,0.000001778054,0.00003028942,0.003997873,0.00002128221,0.00007944144,0.03735537,0.0001067939,0.0001346333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757996,0.001412606,0.000004296262,0.02208796,0.000180214,0.0001529843,0.0002042791,0.00002270679,0.000135406],"genre_scores_gemma":[0.9977796,0.0003665747,0.00002998513,0.001543231,0.000178314,0.000007439523,0.00008670058,0.000007273396,8.936838e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02331962,"threshold_uncertainty_score":0.4881274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023469176222132,"score_gpt":0.3407437089254998,"score_spread":0.2383967913032866,"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."}}