{"id":"W1678998030","doi":"10.3968/j.css.1923669720130903.9719","title":"Assessment of Operational Efficiency Among Wholesalers and Retailers of Vegetables in Igalaland of Kogi State, Nigeria","year":2013,"lang":"en","type":"article","venue":"Canadian social science","topic":"Agriculture and Agroindustry Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Operational efficiency; Commodity; Business; Consumption (sociology); Distribution (mathematics); Production (economics); Margin (machine learning); Agricultural economics; State (computer science); Value (mathematics); Environmental economics; Agricultural science; Marketing; Operations management; Economics; Computer science; Finance; Microeconomics; Statistics; Mathematics; Environmental 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":[0.0002437708,0.00006856314,0.000167433,0.0000287755,0.000170583,0.00002475651,0.000178916,0.00004645371,0.0000625765],"category_scores_gemma":[0.00002925396,0.00002871785,0.00002338806,0.0005945077,0.0008403598,0.0002169456,0.00003391792,0.00006055914,4.107118e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005305621,"about_ca_system_score_gemma":0.0001102703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03074613,"about_ca_topic_score_gemma":0.07059782,"domain_scores_codex":[0.9991683,0.00002434099,0.0002005918,0.0001610553,0.0002214239,0.0002242482],"domain_scores_gemma":[0.9995688,0.00003984705,0.00009823505,0.00002082222,0.000158507,0.0001138275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[3.963349e-7,0.00001284261,0.9140522,0.000004767304,0.000002339684,3.669588e-7,0.0003487034,0.000005835821,0.08390017,0.0002343991,0.0001420044,0.001295947],"study_design_scores_gemma":[0.00004828926,0.00004438107,0.9953141,0.00001749618,0.00000137681,2.225125e-7,0.003250252,0.00001894275,0.001117861,0.00005894599,0.00006486931,0.0000632354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930333,0.00004610461,3.842147e-7,0.0002931752,0.00002855641,0.0001482983,0.00003602664,0.000002129826,0.006411977],"genre_scores_gemma":[0.9998401,0.00001109548,0.00002253094,0.00002546212,0.00002214918,0.00000579489,0.000004283307,2.625602e-7,0.0000682872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08278231,"threshold_uncertainty_score":0.9757082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00894786925079296,"score_gpt":0.2096123807949275,"score_spread":0.2006645115441345,"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."}}