{"id":"W7108334100","doi":"10.2139/ssrn.5829702","title":"Measuring What Matters: A Standardization Roadmap for Energy-Efficient Artificial Intelligence in Livestock Agriculture","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Standardization; Comparability; Sustainability; Certification; Agriculture; Applications of artificial intelligence; Energy consumption; Environmental impact assessment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06413234,0.002464025,0.002651386,0.00828188,0.002314763,0.02198583,0.006319507,0.005526342,0.00635535],"category_scores_gemma":[0.08493911,0.001063938,0.002241625,0.01079761,0.007238103,0.03416573,0.008657604,0.007040683,0.002943491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005900492,"about_ca_system_score_gemma":0.02693672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009529288,"about_ca_topic_score_gemma":0.005437789,"domain_scores_codex":[0.9692815,0.01444524,0.004164289,0.002673182,0.007796886,0.001638794],"domain_scores_gemma":[0.859422,0.0443563,0.006524788,0.03125077,0.05389988,0.004546298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001895364,0.0003900825,0.004477703,0.00141258,0.0002309334,0.00008623936,0.0007588127,0.01530714,0.002230134,0.5428706,0.02546308,0.4065831],"study_design_scores_gemma":[0.00003390542,0.0001695303,0.002496292,0.001757534,0.000119081,0.00007159277,0.001401576,0.02506489,0.00271578,0.883763,0.08231538,0.00009152909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01461282,0.01879028,0.8005874,0.1119854,0.002187363,0.0008905982,0.001697584,0.003170785,0.0460778],"genre_scores_gemma":[0.198072,0.0186272,0.7620615,0.006996083,0.001346674,0.001197587,0.006006388,0.0008225453,0.004870095],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06413234,"threshold_uncertainty_score":0.3391683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301186538921176,"score_gpt":0.2377920178168707,"score_spread":0.2247801524276589,"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."}}