{"id":"W2584784936","doi":"","title":"Relationship between Mothers’ Socio Demographic Characteristics and Food Security Status in Kangai and Mutithi Locations of Mwea West Sub County, Kenya","year":2016,"lang":"en","type":"article","venue":"Food science and quality management","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food security; Marital status; Poverty; Geography; Socioeconomics; Food insecurity; Environmental health; Population; Socioeconomic status; Proxy (statistics); Demographics; Psychological intervention; Demography; Medicine; Economic growth; Economics; Agriculture; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000260615,0.0001447581,0.000144854,0.0005462832,0.0005890872,0.0003051955,0.0001601765,0.0001782033,0.001557128],"category_scores_gemma":[0.000935037,0.000211706,0.0001195653,0.0005225971,0.0002646223,0.0002758745,0.0003371884,0.0001995384,0.0001196388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004087519,"about_ca_system_score_gemma":0.0003497349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01504167,"about_ca_topic_score_gemma":0.04604639,"domain_scores_codex":[0.999846,0.00004109648,0.00001620476,0.00002593886,0.00002546706,0.00004524521],"domain_scores_gemma":[0.9994701,0.0001216185,0.0002491285,0.00001477655,0.00005218822,0.00009227396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003045397,0.00002567991,0.9971638,0.00001073563,0.00001037139,0.0002047265,0.001224037,0.00001221902,0.0002744156,0.00002771322,0.00006825964,0.0009475678],"study_design_scores_gemma":[0.000001321372,0.00006357422,0.994629,0.000009925408,0.000008380115,0.0001708346,0.004830716,0.00004900011,0.00005875214,0.000009454043,0.0001669651,0.000002190278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997942,0.00003410918,0.000008567286,0.00001578785,8.47302e-7,0.000001944579,0.0000416589,2.209965e-7,0.0001027496],"genre_scores_gemma":[0.9997008,0.00005242492,0.00003856307,0.000006555324,8.357368e-7,0.000006601895,0.0000466639,2.22238e-7,0.000147427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01504167,"threshold_uncertainty_score":0.02990824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0453582277075629,"score_gpt":0.3131596201559099,"score_spread":0.267801392448347,"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."}}