{"id":"W4297882717","doi":"10.1093/jas/skac247.023","title":"22 Sustainable Livestock Breeding: Challenges and Opportunities","year":2022,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Livestock; Sustainability; Biotechnology; Context (archaeology); Emerging technologies; License; Business; Heritability; Animal breeding; Biology; Natural resource economics; Computer science; Ecology; Economics; Evolutionary biology","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":[0.0008942065,0.00005538511,0.0000724553,0.00008158895,0.0003119931,0.00002951839,0.0002037042,0.00001693781,0.00001497641],"category_scores_gemma":[0.00005725063,0.00004755013,0.00003092404,0.00007085987,0.0002364861,0.00001393541,0.0003125881,0.00008952143,1.496766e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000208749,"about_ca_system_score_gemma":0.0001982292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001985497,"about_ca_topic_score_gemma":2.506076e-7,"domain_scores_codex":[0.9992523,0.00002235602,0.000132156,0.0001606939,0.0002650982,0.0001674071],"domain_scores_gemma":[0.9994816,0.00000307681,0.0001381599,0.00007867283,0.0002087057,0.00008982568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001212763,0.00003636375,0.0001108746,0.000008494948,0.000006869662,0.00002006247,0.0001938043,0.00003279555,0.9893588,0.003260676,0.0004443284,0.006405608],"study_design_scores_gemma":[0.0007232633,0.03396829,0.05288416,0.00001656485,0.00004556692,0.004124794,0.0444753,0.0001466171,0.1522162,0.001177534,0.709749,0.0004727271],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984439,0.01062738,0.00002546014,0.001090366,0.000106258,0.00003871684,6.426736e-7,0.000001640953,0.003670599],"genre_scores_gemma":[0.9940439,0.003858832,0.0002017044,0.0000641856,0.0002317372,0.000001331819,2.341516e-7,0.000004623653,0.001593435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8371426,"threshold_uncertainty_score":0.2399631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04566603063286975,"score_gpt":0.2669410060663586,"score_spread":0.2212749754334889,"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."}}