{"id":"W2153492309","doi":"10.1017/s0021932005026143","title":"HOUSEHOLD AND COMMUNITY SOCIOECONOMIC INFLUENCES ON EARLY CHILDHOOD MALNUTRITION IN AFRICA","year":2005,"lang":"en","type":"article","venue":"Journal of Biosocial Science","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Andrew W. Mellon Foundation","keywords":"Socioeconomic status; Malnutrition; Residence; Geography; Environmental health; Socioeconomics; Demography; Population; Medicine; Sociology","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":[0.001139829,0.00007152437,0.0001466016,0.0002808865,0.0004666617,0.0001690059,0.0003113606,0.00004882378,0.000006472238],"category_scores_gemma":[0.00007643725,0.00006337487,0.00004611341,0.0002407894,0.0003600708,0.0008493449,0.00003681607,0.0004762737,0.000004477062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931919,"about_ca_system_score_gemma":0.00003985548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007156243,"about_ca_topic_score_gemma":0.00004798571,"domain_scores_codex":[0.999059,0.00013044,0.000288904,0.00008824836,0.0002353282,0.0001980291],"domain_scores_gemma":[0.9994965,0.00009315296,0.0002004092,0.00006710048,0.00005049246,0.00009229637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00158846,0.007074014,0.6806634,0.00008389328,0.000041175,0.00002822258,0.131364,0.0002659129,0.07658875,0.001081015,0.005695607,0.09552556],"study_design_scores_gemma":[0.001029743,0.0003666611,0.9864294,0.00008281368,0.000005308018,0.00001687848,0.0004134865,0.000006401945,0.00850286,0.002576922,0.0004809865,0.00008852626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909149,0.00008935385,0.000001014827,0.008154289,0.0002136775,0.00006716141,0.00000512412,0.000009035318,0.0005454425],"genre_scores_gemma":[0.9988012,0.0000361838,0.0001728036,0.0006476502,0.0003345575,5.605779e-7,1.586404e-7,0.000004052179,0.000002851327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.305766,"threshold_uncertainty_score":0.3589232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02876273536987083,"score_gpt":0.2731710199422735,"score_spread":0.2444082845724027,"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."}}