{"id":"W4408778293","doi":"10.17268/sci.agropecu.2025.017","title":"Energy efficiency of heating machines and its effects on broiler's performance and welfare","year":2025,"lang":"en","type":"article","venue":"Scientia Agropecuaria","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Broiler; Welfare; Energy (signal processing); Environmental economics; Environmental science; Animal science; Economics; Mathematics; Biology; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001713534,0.0001097401,0.0001581229,0.00003825261,0.0003823324,0.00003228573,0.0001691518,0.0000802735,0.0000412717],"category_scores_gemma":[0.00004292097,0.00004334193,0.00002639032,0.0003974432,0.0001037635,0.00006870405,0.000120517,0.00007548055,0.000002312213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005281618,"about_ca_system_score_gemma":0.000003676829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007605912,"about_ca_topic_score_gemma":0.00009175401,"domain_scores_codex":[0.9992381,0.00003861219,0.000138585,0.0002809112,0.000106489,0.0001972672],"domain_scores_gemma":[0.9997181,0.0000947361,0.00005433572,0.00005267087,0.00004293709,0.00003722102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007401704,0.0001132593,0.04649832,0.0001208996,0.00003393683,0.000003914817,0.00005425813,0.000005168408,0.4976422,0.06449328,0.0001706068,0.3907901],"study_design_scores_gemma":[0.0009343017,0.001041686,0.8717778,0.0003577732,0.00006960419,0.00001011487,0.0001250499,0.009335195,0.1110875,0.001371544,0.003543262,0.0003462062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957126,0.0007436043,0.000002906224,0.001100132,0.0001447402,0.0001035657,0.000007380645,0.00006103622,0.002124017],"genre_scores_gemma":[0.9995181,0.00007601472,0.0000113379,0.0001398008,0.00001822634,0.000008097224,0.000004776864,5.653956e-7,0.0002231098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8252795,"threshold_uncertainty_score":0.294063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004014955271977339,"score_gpt":0.1862412662246978,"score_spread":0.1822263109527205,"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."}}