{"id":"W2143664795","doi":"10.5539/mas.v5n3p69","title":"Optimization of Energy Consumption of Broiler Production Farms using Data Envelopment Analysis Approach","year":2011,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Tehran","keywords":"Data envelopment analysis; Broiler; Agricultural science; Production (economics); Energy consumption; Agricultural engineering; Poultry farming; Environmental science; Mathematics; Statistics; Animal science; Geography; Economics; Biology; Engineering; Forestry","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":[0.00643035,0.0001604288,0.0004629382,0.00171903,0.0002630382,0.0000794618,0.002353954,0.0000645076,0.0001121948],"category_scores_gemma":[0.0004851635,0.0001288822,0.00008812479,0.007345505,0.001230247,0.0006755506,0.0005870605,0.00007071044,0.000004589214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007579356,"about_ca_system_score_gemma":0.0002486116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001394834,"about_ca_topic_score_gemma":0.00001870746,"domain_scores_codex":[0.9946129,0.00009556291,0.001028667,0.001324825,0.002645431,0.0002926016],"domain_scores_gemma":[0.9960817,0.00008243808,0.0009592181,0.002168066,0.0006192704,0.00008932205],"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":[0.00002858973,0.0002582396,0.003934561,0.00000634162,0.00006531338,1.497836e-7,0.001671137,0.8416615,0.1418054,0.001054001,0.00001000089,0.009504748],"study_design_scores_gemma":[0.00007958226,0.000008451302,0.002993919,0.000004372417,0.000196898,0.000001383811,0.0002007256,0.9536044,0.04186357,0.0009053134,0.000006094806,0.0001352898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1403993,0.00003631395,0.8567277,0.000006899043,0.00008152026,0.0001112414,0.000009509289,0.00001837274,0.002609174],"genre_scores_gemma":[0.8382254,0.0000109355,0.1616635,0.00001259533,0.00001080707,0.000004169643,0.00001872794,0.000006223942,0.00004761181],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6978261,"threshold_uncertainty_score":0.5255665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.299945293481081,"score_gpt":0.3664660166750989,"score_spread":0.06652072319401797,"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."}}