{"id":"W7018006932","doi":"","title":"COMPARATIVE ANALYSIS OF HOUSEHOLDS' SOCIOECONOMIC AND DEMOGRAPHIC\\nCHARACTERISTICS AND FOOD SECURITY STATUS IN URBAN AND RURAL AREAS OF\\nKWARA AND KOGI STATES OF NORTH-CENTRAL NIGERIA","year":2012,"lang":"en","type":"other","venue":"Bioline International (Bioline International)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Economic Research Service; International Development Research Centre; Consortium pour la recherche économique en Afrique; U.S. Department of Agriculture","keywords":"Rural area; Food security; Socioeconomic status; Rural population; Rural settlement; Population","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003350593,0.0006682393,0.001634398,0.002366522,0.00002943096,0.0000592398,0.0004138183,0.000308377,0.0003025688],"category_scores_gemma":[0.0001156217,0.0006652471,0.0002168314,0.0003662294,0.001024987,0.0002499046,0.0004179972,0.0003571103,0.000002783388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156651,"about_ca_system_score_gemma":0.0001029264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917681,"about_ca_topic_score_gemma":0.009818844,"domain_scores_codex":[0.9966817,0.0001481696,0.001583215,0.0006633571,0.000475637,0.0004478476],"domain_scores_gemma":[0.9963899,0.0003677528,0.00221442,0.0002828256,0.0004853789,0.0002597621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004597905,0.0004647738,0.987131,0.0001452253,0.006685008,0.000002376241,0.001465062,0.00004335111,0.0003793885,0.001542216,0.001414356,0.0002674272],"study_design_scores_gemma":[0.002343105,0.0001983201,0.9785167,0.0003126253,0.0006875023,0.00001353397,0.0002944365,0.00639901,0.0002221343,0.0003306511,0.01007386,0.0006081408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500928,0.003618124,0.0000472642,0.00009663475,0.0004094724,0.0004733787,0.04428336,0.00004457907,0.0009344186],"genre_scores_gemma":[0.9852459,0.005267117,0.000455511,0.00003268253,0.000355509,0.00002463955,0.008023517,0.0001613124,0.0004337795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03625984,"threshold_uncertainty_score":0.9995798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272075084709119,"score_gpt":0.2599249107847857,"score_spread":0.2472041599376946,"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."}}