{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000188391,0.0001289549,0.0001331755,0.0009160715,0.0009068396,0.0004106792,0.0001785229,0.0002091948,0.002669981],"category_scores_gemma":[0.0004627024,0.0001720589,0.0001876317,0.001349305,0.0003479351,0.0003941814,0.0005461588,0.0002420025,0.0002908034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004810906,"about_ca_system_score_gemma":0.0005268357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03594276,"about_ca_topic_score_gemma":0.09988145,"domain_scores_codex":[0.9998648,0.00003145104,0.00001458659,0.0000230259,0.0000148262,0.00005132266],"domain_scores_gemma":[0.9997873,0.00004155025,0.0000625871,0.000009782018,0.00003777158,0.00006103322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005876716,0.00005959814,0.9945674,0.00001810086,0.00001315615,0.0001871636,0.002450919,0.000028717,0.0003203893,0.0001338773,0.0001679765,0.001993871],"study_design_scores_gemma":[0.000001293787,0.00005172498,0.9865587,0.00001255157,0.000006623904,0.0001213127,0.01274724,0.00005222675,0.00004927956,0.00003155348,0.0003648768,0.000002688978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989022,0.00003920712,0.00002058218,0.00001789072,0.000001766364,0.00000603831,0.0002594693,5.440152e-7,0.0007522005],"genre_scores_gemma":[0.9991133,0.00006750241,0.00003483699,0.00001013425,0.000001055158,0.000009515541,0.0002417143,3.964979e-7,0.0005215972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03594276,"threshold_uncertainty_score":0.0714671,"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."}}