{"id":"W2087299196","doi":"10.6000/1929-5634.2015.04.01.7","title":"Association of Socio-Economic Factors with the Nutritional Status of the Children Aged 2-8 Years from Slums of Kolkata, West Bengal, India","year":2015,"lang":"en","type":"article","venue":"Journal of Nutritional Therapeutics","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wasting; Underweight; Slum; Malnutrition; Anthropometry; Socioeconomic status; Population; Environmental health; Medicine; Demography; Geography; Body mass index; Socioeconomics; Overweight","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001833762,0.0003648846,0.0002293308,0.00105812,0.0005470544,0.0005876771,0.0003526549,0.0002865217,0.001429826],"category_scores_gemma":[0.0006344713,0.0002846265,0.0002768148,0.001005944,0.0004057025,0.0002282963,0.0004869089,0.0004758768,0.0002190864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005273123,"about_ca_system_score_gemma":0.0006033861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04432403,"about_ca_topic_score_gemma":0.06949901,"domain_scores_codex":[0.9997844,0.00002954621,0.00002861822,0.00003237014,0.00004630427,0.00007874031],"domain_scores_gemma":[0.9995213,0.00006122514,0.0001992906,0.00002053597,0.00006062864,0.0001369836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001277871,0.00001871013,0.9990571,0.00001084962,0.00001021964,0.0001621947,0.0002196453,0.000009208128,0.0000989365,0.000007380926,0.00004961015,0.0003433612],"study_design_scores_gemma":[8.361669e-7,0.00002579094,0.9991713,0.000005394646,0.000005563884,0.0001498835,0.0005527076,0.00001406406,0.00001618736,0.000002626654,0.00005428815,0.0000014241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993807,0.0001012338,0.000006938035,0.00003299485,0.00000311496,0.000005926712,0.0002618793,0.000001390142,0.0002058568],"genre_scores_gemma":[0.9994324,0.0001414124,0.00002896611,0.00001823539,0.000003762358,0.000008657588,0.0002449,7.283974e-7,0.0001208123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04432403,"threshold_uncertainty_score":0.08813208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664441539637031,"score_gpt":0.2655445899361066,"score_spread":0.2389001745397363,"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."}}