{"id":"W2290611343","doi":"10.5539/jas.v8n2p179","title":"Metafrontier Analysis of Technical Efficiency of Wheat Farms in Sudan","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"African Development Bank Group","keywords":"Productivity; Inefficiency; Nile delta; Data envelopment analysis; Irrigation; Agricultural science; Geography; Environmental science; Agriculture; Agricultural economics; Forestry; Agroforestry; Water resource management; Mathematics; Agronomy; Economics; Biology; Statistics","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":[0.003318577,0.0005608374,0.0008623929,0.003490722,0.0003350622,0.001789882,0.0004857785,0.0004061491,0.000937329],"category_scores_gemma":[0.003744052,0.0003235068,0.00161585,0.002646354,0.0003078528,0.001204062,0.0008822578,0.000376809,0.00007447089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001947154,"about_ca_system_score_gemma":0.0008382677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0127593,"about_ca_topic_score_gemma":0.007642672,"domain_scores_codex":[0.9992029,0.0002889687,0.00005956506,0.000138729,0.0001434922,0.0001663264],"domain_scores_gemma":[0.9979918,0.001057262,0.0005159799,0.0001627693,0.0001980738,0.00007408555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001443995,0.0001126221,0.2596607,0.0001420738,0.001156297,0.0005150428,0.000223927,0.6988369,0.002164874,0.007312082,0.0003372517,0.02939373],"study_design_scores_gemma":[0.00001783868,0.0001851285,0.2774578,0.00006368624,0.0002658873,0.0001437452,0.0008281929,0.7127042,0.001312528,0.005918182,0.001062668,0.00004012254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910801,0.0003585021,0.007526498,0.00006926498,0.000002551106,0.0000132942,0.000269302,0.00001457216,0.0006658468],"genre_scores_gemma":[0.997503,0.0001295254,0.001853159,0.000009510937,0.000001875285,0.0000110474,0.0003164647,0.000003192456,0.0001721707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0127593,"threshold_uncertainty_score":0.02537006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501252155471437,"score_gpt":0.3438781646785664,"score_spread":0.3088656431238521,"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."}}