{"id":"W2060545087","doi":"10.5539/jas.v2n1p206","title":"An Evaluation of Groundnut Processing by Women in a Rural Area of North Central Nigeria","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empowerment; Descriptive statistics; Rural area; Data envelopment analysis; Sample (material); Scale (ratio); Data processing; Geography; Socioeconomics; Agricultural science; Economic growth; Computer science; Mathematics; Statistics; Economics; Database; Political science; Environmental science; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008165591,0.0002164373,0.0001965695,0.0005059036,0.0008884904,0.0005484074,0.000156573,0.00020798,0.002175979],"category_scores_gemma":[0.001610968,0.0002044075,0.0001246518,0.0006212424,0.0004788743,0.0004515891,0.0005177149,0.0001992168,0.0001646792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004976288,"about_ca_system_score_gemma":0.000754419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004492208,"about_ca_topic_score_gemma":0.01521608,"domain_scores_codex":[0.9995918,0.0001593405,0.00001974654,0.00002878565,0.00007516721,0.0001252043],"domain_scores_gemma":[0.9993912,0.0002469022,0.0001475596,0.00001327288,0.0001008481,0.0001001758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003768893,0.0007584057,0.9233012,0.0001534226,0.00001545344,0.001751562,0.03725235,0.000188783,0.002850603,0.0003187875,0.0002378749,0.03279462],"study_design_scores_gemma":[0.00002017787,0.002124573,0.8266957,0.00008157866,0.00001869379,0.0009410498,0.166331,0.0003842796,0.0006888933,0.000158753,0.002541524,0.00001373271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996063,0.00002742235,0.00002016722,0.00002164244,6.455431e-7,0.000008224116,0.00000749235,1.482261e-7,0.0003079796],"genre_scores_gemma":[0.9992222,0.000169014,0.00008863268,0.0000235309,0.000001351405,0.00001238279,0.00001629639,3.956885e-7,0.0004662555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004492208,"threshold_uncertainty_score":0.008932173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625883450794749,"score_gpt":0.348008964419404,"score_spread":0.3117501299114565,"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."}}