{"id":"W2526413735","doi":"10.5539/jsd.v9n5p162","title":"Level of Income Inequality and Determinants of Poverty Incidence among Youth Farmers in Akwa Ibom State, Nigeria","year":2016,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Agricultural productivity; Socioeconomics; Agriculture; Inequality; Rural area; Descriptive statistics; Rural poverty; Logistic regression; Geography; Economics; Economic growth; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0058711,0.0001681201,0.0006085772,0.0003499467,0.0001667912,0.00002851611,0.0003723219,0.0001162726,0.00003930184],"category_scores_gemma":[0.001391291,0.0001175126,0.00007253885,0.0004422375,0.0003811256,0.0009235174,0.0001848822,0.0001526353,6.561705e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007907209,"about_ca_system_score_gemma":0.001836419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005278965,"about_ca_topic_score_gemma":0.002947105,"domain_scores_codex":[0.9965808,0.0003993388,0.001493075,0.0001787981,0.0008165527,0.0005314724],"domain_scores_gemma":[0.9971561,0.0002498343,0.001270776,0.0001484221,0.0009901709,0.0001846529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001645492,0.0001050479,0.943967,0.0001814498,0.00002406202,0.00006246929,0.05187605,0.000002556755,0.0001833446,0.00020917,0.00003989616,0.003184374],"study_design_scores_gemma":[0.0009187897,0.000107732,0.9164617,0.0003488615,0.000006741577,0.000002434952,0.0769529,0.000001057701,0.002955321,0.00169453,0.0003707473,0.0001791521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986225,0.00008345535,0.0003662042,0.000118145,0.0001597027,0.0002182987,0.00001699388,0.000004373584,0.0004102622],"genre_scores_gemma":[0.9982131,0.0002278791,0.0005953011,0.00005225446,0.00003175842,0.000002813411,4.255423e-7,0.000009558072,0.0008669012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0275053,"threshold_uncertainty_score":0.7980252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04609005721407175,"score_gpt":0.3108715908133954,"score_spread":0.2647815335993237,"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."}}