{"id":"W3102547876","doi":"10.1016/j.dib.2020.106542","title":"Survey data on income, food security, and dietary behavior among women and children from households of differing socio-economic status in urban and peri-urban areas of Nairobi, Kenya","year":2020,"lang":"en","type":"article","venue":"Data in Brief","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Australian Centre for International Agricultural Research; International Development Research Centre","keywords":"Food security; Livelihood; Household income; Environmental health; Poverty; Socioeconomics; Socioeconomic status; Geography; Vulnerability (computing); Food insecurity; Consumption (sociology); Index (typography); Population; Business; Economics; Economic growth; Medicine; Agriculture","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002754819,0.0001926008,0.000469365,0.0001017124,0.0000422429,0.00008057975,0.0005171684,0.00009503328,0.00001235995],"category_scores_gemma":[0.00006560416,0.0002104617,0.0000117923,0.00009981621,0.0002180916,0.0006197729,0.001393612,0.0002340389,2.372225e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004847374,"about_ca_system_score_gemma":0.00001225262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053695,"about_ca_topic_score_gemma":0.004920712,"domain_scores_codex":[0.9983755,0.0001499309,0.0004382771,0.0006676881,0.0001156112,0.0002529615],"domain_scores_gemma":[0.998781,0.0001555305,0.0001368879,0.0007662321,0.000008146467,0.0001521988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003385401,0.00016277,0.9936281,0.00009366414,0.00002812637,0.000003597619,0.004738939,9.448596e-7,0.00004373159,0.000001428534,0.0004586533,0.0005014662],"study_design_scores_gemma":[0.002666236,0.0002334489,0.9958565,0.0001423098,0.0000221092,0.000001338248,0.0001587302,0.0004692978,0.0001477372,0.00004839809,0.00004668214,0.0002071875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567587,0.0005785024,4.560572e-7,0.0001124009,0.0000574778,0.0003383811,0.04212485,0.00001970771,0.00000950607],"genre_scores_gemma":[0.9897702,0.0001589999,0.00002740024,0.0001066788,0.00005993291,0.000006660413,0.009839393,0.00003031416,4.080707e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03301149,"threshold_uncertainty_score":0.996052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03816681869472299,"score_gpt":0.2620183948546779,"score_spread":0.2238515761599549,"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."}}