{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273036,0.0003227004,0.0002580428,0.0007629574,0.000229995,0.0006861829,0.0003880535,0.0002616793,0.000900729],"category_scores_gemma":[0.0005775443,0.0001096151,0.0002694293,0.000911273,0.0002239056,0.0003036417,0.0004348238,0.0002390018,0.0001925179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209746,"about_ca_system_score_gemma":0.0009720789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004449083,"about_ca_topic_score_gemma":0.005110472,"domain_scores_codex":[0.9995914,0.00007429301,0.00001724761,0.00006456586,0.0002009114,0.00005158475],"domain_scores_gemma":[0.9997579,0.00003792135,0.00005373584,0.00001535203,0.00009636304,0.00003855696],"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":[0.0003125694,0.0004053359,0.04717848,0.000355524,0.0001085424,0.0001296765,0.0002644664,0.02730533,0.2438782,0.007485732,0.002559733,0.6700164],"study_design_scores_gemma":[0.0001587706,0.004290332,0.2931306,0.0002471341,0.0005171438,0.000879271,0.000672246,0.1442418,0.4084234,0.0101159,0.137159,0.0001643588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7038528,0.00323959,0.2536937,0.0006666178,0.00006621631,0.0005044031,0.001319433,0.001029968,0.03562725],"genre_scores_gemma":[0.7155543,0.001948138,0.2706544,0.0001975303,0.00002855977,0.0001998571,0.002106442,0.000100815,0.009210022],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004449083,"threshold_uncertainty_score":0.008846343,"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."}}