{"id":"W3084006022","doi":"10.5539/jas.v12n10p162","title":"Optimization of Energy Efficiency and Environmental Comfort in Broiler House","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Ventilation (architecture); Energy consumption; Efficient energy use; Studio; Natural ventilation; Relation (database); Energy conservation; Engineering; Computer science; Simulation; Mechanical engineering; Telecommunications; Electrical engineering; Database","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":[0.0002488581,0.0003753271,0.0002886428,0.0002600196,0.0001436831,0.000423868,0.0003423395,0.0002197993,0.001116871],"category_scores_gemma":[0.0001933604,0.0001988345,0.0003464836,0.0001479519,0.0001049427,0.0001894916,0.0002342633,0.0001222186,0.0001588513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001986742,"about_ca_system_score_gemma":0.000183341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077782,"about_ca_topic_score_gemma":0.002496279,"domain_scores_codex":[0.999856,0.00003694668,0.000006571065,0.00002840088,0.00004756633,0.00002448271],"domain_scores_gemma":[0.9999413,0.00001704952,0.00001330935,0.000006461843,0.00001445131,0.000007381289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001047386,0.0007434336,0.01152907,0.0005001221,0.0001038115,0.0002507964,0.0001310745,0.503563,0.4239341,0.001402122,0.0003054091,0.05648954],"study_design_scores_gemma":[0.000105099,0.004947421,0.04060683,0.00004723901,0.000223564,0.000197168,0.0003179857,0.8123127,0.1378638,0.0005346736,0.002794713,0.00004885087],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378939,0.0001388211,0.05876185,0.00001292488,0.000006725577,0.00004932267,0.0000695565,0.00006810157,0.002998886],"genre_scores_gemma":[0.9882643,0.0000605106,0.01063055,0.000004469286,0.000001035875,0.00002594858,0.00004765871,0.00001604193,0.0009494418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001116871,"threshold_uncertainty_score":0.003736317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140869019434946,"score_gpt":0.1860229472610385,"score_spread":0.1746142570666891,"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."}}