{"id":"W2947672902","doi":"10.5539/jas.v11n8p31","title":"Stochastic Meta Frontier Analysis of Smallholder Rice Farmers’ Technical Efficiency","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Nanjing Agricultural University","keywords":"Inefficiency; Production (economics); Stochastic frontier analysis; Manure; Agricultural science; Food security; Rice farming; Agricultural economics; Frontier; Economics; Business; Production–possibility frontier; Agronomy; Environmental science; Agriculture; Geography","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":[0.008446341,0.0008515607,0.002066941,0.002338737,0.0003165875,0.001964094,0.0006890479,0.0008313927,0.002130901],"category_scores_gemma":[0.009996813,0.0004266268,0.002602266,0.001377112,0.0004625852,0.0008226603,0.0008783797,0.0008490907,0.0001186223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511493,"about_ca_system_score_gemma":0.001399217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004632127,"about_ca_topic_score_gemma":0.002529545,"domain_scores_codex":[0.997311,0.002007602,0.00009247195,0.0002321286,0.000159299,0.0001974749],"domain_scores_gemma":[0.988722,0.01012738,0.0005132367,0.000226507,0.0002857049,0.0001252188],"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":[0.0001644626,0.00007403381,0.01472693,0.0002467993,0.001667505,0.0001604422,0.00005869685,0.9657415,0.0004597142,0.007047445,0.0002540398,0.009398543],"study_design_scores_gemma":[0.00003097936,0.0002630334,0.007912491,0.00005972841,0.0004156964,0.0000482712,0.0001796659,0.9803791,0.0003320659,0.009749321,0.000600768,0.00002887005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6904004,0.003775084,0.2999479,0.0008544502,0.00005528941,0.0002269942,0.001252531,0.00009883322,0.00338852],"genre_scores_gemma":[0.9873032,0.0005924858,0.01079806,0.00003908829,0.000008818175,0.0001227499,0.0003197575,0.000007934213,0.0008078812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008446341,"threshold_uncertainty_score":0.04466903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04846699833554079,"score_gpt":0.3352620700296063,"score_spread":0.2867950716940655,"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."}}