{"id":"W4408692595","doi":"10.1016/j.animal.2025.101491","title":"Breeding for sustainability: Development of an index to reduce greenhouse gas in dairy cattle","year":2025,"lang":"en","type":"review","venue":"animal","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Beef Farmers of Ontario; University of Guelph; Agriculture and Agri-Food Canada","funders":"Genome Alberta; Genome British Columbia; Genome Canada","keywords":"Sustainability; Greenhouse gas; Dairy cattle; Index (typography); Biotechnology; Environmental science; Business; Animal science; Biology; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002423781,0.0002412808,0.0005669993,0.0001205276,0.00004173266,0.000009216516,0.0003503338,0.0002948257,0.000003914617],"category_scores_gemma":[0.000172149,0.0002354719,0.0001303394,0.0001630015,0.00004061225,0.000001895471,0.0001957618,0.000103679,9.678392e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006102009,"about_ca_system_score_gemma":0.001436402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002062761,"about_ca_topic_score_gemma":0.0001176659,"domain_scores_codex":[0.9986226,0.00005291509,0.000475744,0.0004889356,0.00008579055,0.0002740119],"domain_scores_gemma":[0.9993249,0.00003435855,0.0001078089,0.0003378892,0.0001149421,0.00008016497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001058232,0.0001366091,0.00006039558,0.008520684,0.00005253388,3.679575e-7,0.0001983898,0.0000137487,0.000156442,0.0003987038,0.000266187,0.9900901],"study_design_scores_gemma":[0.0003840794,0.001309401,0.001540002,0.00180642,0.0001152328,0.000006089778,0.0002198949,9.495011e-7,0.0008488516,0.00043684,0.9928637,0.0004685316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05783008,0.9353343,0.003920808,0.00002920164,0.0001915011,0.002185576,0.00008614798,0.00001340504,0.0004089597],"genre_scores_gemma":[0.07684447,0.6948014,0.2180623,0.0002226176,0.001504986,0.002469598,0.001552963,0.0003022645,0.004239373],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9925975,"threshold_uncertainty_score":0.9602266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914362010487817,"score_gpt":0.3326623913559523,"score_spread":0.3035187712510742,"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."}}