{"id":"W4414482649","doi":"10.56160/jaeess/2025/vol11/issue2/010","title":"INFLUENCE OF SOCIO-ECONOMIC VARIABLES ON FOOD SECURITY STATUS OF FARMING HOUSEHOLDS IN WUKARI, TARABA STATE, NIGERIA","year":2025,"lang":"en","type":"article","venue":"JOURNAL OF AGRICULTURAL ECONOMICS ENVIRONMENT AND SOCIAL SCIENCES","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food security; Socioeconomic status; Agriculture; Descriptive statistics; Quarter (Canadian coin); Food insecurity; Multistage sampling; Consumption (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":[0.0003702498,0.0001712906,0.0001696147,0.0004897974,0.0005488594,0.000482495,0.000104759,0.0001552003,0.00121832],"category_scores_gemma":[0.001043256,0.0001527095,0.000160898,0.0003997954,0.0003606404,0.000284181,0.0003782607,0.0002225224,0.00009756577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000290001,"about_ca_system_score_gemma":0.0004242298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01262881,"about_ca_topic_score_gemma":0.03406128,"domain_scores_codex":[0.9998077,0.00006358643,0.00001904174,0.00002283819,0.00002887533,0.00005807599],"domain_scores_gemma":[0.9994795,0.0001154099,0.0002280011,0.00001695459,0.00005096406,0.0001091383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000252495,0.00004375977,0.9967675,0.00001176484,0.00001254442,0.0002133748,0.0007081461,0.00002934784,0.000207016,0.00003446743,0.00003748068,0.001909354],"study_design_scores_gemma":[9.96294e-7,0.00003559361,0.9975198,0.00001434538,0.000005558207,0.0001007332,0.002065474,0.00007158388,0.00003085248,0.00002392721,0.0001287767,0.000002253588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996492,0.00006429927,0.00001125824,0.00002550747,0.000001443248,0.000002764461,0.00002496028,2.301206e-7,0.0002203762],"genre_scores_gemma":[0.9997849,0.00008169714,0.00001995405,0.000007132193,0.0000010439,0.000002121742,0.00002736091,1.783655e-7,0.00007560097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01262881,"threshold_uncertainty_score":0.0251106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04898977240504947,"score_gpt":0.3381659147770478,"score_spread":0.2891761423719983,"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."}}