{"id":"W2608514408","doi":"10.47203/ijch.2017.v29i01.012","title":"Inequalities in nutritional status among under five children in Haryana state, India: Role of social determinants","year":2017,"lang":"en","type":"article","venue":"Indian Journal of Community Health","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Underweight; Wasting; Malnutrition; Medicine; Anthropometry; Socioeconomic status; Logistic regression; Population; Demography; Environmental health; Social inequality; Inequality; Body mass index; Overweight","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":[0.00141082,0.0001550619,0.0005856957,0.0007105879,0.0006638026,0.0001110501,0.0006859791,0.0001087161,0.00002203512],"category_scores_gemma":[0.0001293788,0.0001617759,0.0001073837,0.0001445091,0.0002864135,0.0007643255,0.0001116977,0.001439573,0.000001221979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003737652,"about_ca_system_score_gemma":0.0002816246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01958433,"about_ca_topic_score_gemma":0.02522648,"domain_scores_codex":[0.9968541,0.001258833,0.00104143,0.00007535256,0.0003320772,0.0004382149],"domain_scores_gemma":[0.9978303,0.0002159098,0.001321589,0.0002989168,0.0001403208,0.0001929583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003949099,0.0007066383,0.9540645,0.0001361898,0.00001860614,0.00001890923,0.0404755,0.00001248614,0.000007743794,0.00004037494,0.0001585595,0.003965581],"study_design_scores_gemma":[0.003849888,0.0003642103,0.9785831,0.0006517231,0.000004460898,0.00005220178,0.006120427,0.000003723902,0.0004081287,0.00979698,0.00003792936,0.0001272352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963981,0.0002594744,0.000001962761,0.002573047,0.0001702931,0.0002337386,0.0002365053,0.000005402328,0.0001214867],"genre_scores_gemma":[0.9990497,0.0001124935,0.00006341571,0.0006001652,0.0001131312,0.000002481237,0.00003453253,0.0000186838,0.000005439712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03435507,"threshold_uncertainty_score":0.9925606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03314963653587116,"score_gpt":0.346795779189004,"score_spread":0.3136461426531328,"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."}}