{"id":"W4365147681","doi":"10.3390/ani13081308","title":"Genetic Analysis of Methane Emission Traits in Holstein Dairy Cattle","year":2023,"lang":"en","type":"article","venue":"Animals","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Guelph","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Dairy Farmers of Canada","keywords":"Methane; Heritability; Dairy cattle; Methane emissions; Genetic correlation; Animal science; Environmental science; Biology; Chemistry; Genetic variation; Ecology; Genetics; Gene","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":[0.0001748987,0.0001092736,0.0002274399,0.0001993578,0.00001506044,0.000004325779,0.0001761817,0.0001218275,0.0000620991],"category_scores_gemma":[0.00006653177,0.0001050268,0.0001156559,0.0008040299,0.00004792809,0.000001170444,0.00007072672,0.00004986078,0.00001371458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004410113,"about_ca_system_score_gemma":0.00004526581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003830067,"about_ca_topic_score_gemma":0.00006463411,"domain_scores_codex":[0.9990649,0.00006468379,0.000260137,0.0002840859,0.0001186314,0.0002075931],"domain_scores_gemma":[0.9995844,0.00002487177,0.00006806599,0.0002275917,0.00003464226,0.00006037044],"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":[0.0000531339,0.00004833548,0.02937591,0.00002178131,0.0002097923,0.000001631279,0.0002479001,0.003932756,0.960937,0.0002384328,0.0008890173,0.004044358],"study_design_scores_gemma":[0.0002494911,0.0002035425,0.8821524,0.000008603809,0.0001262381,0.000001140798,0.0001009362,0.00006989128,0.1157117,0.0003010131,0.0009581952,0.0001168319],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977235,0.0007560726,0.0003765121,0.00004505662,0.00004001965,0.0001040357,0.00003460487,0.00001153969,0.0009086348],"genre_scores_gemma":[0.9959221,0.0000674808,0.003087985,0.00004110378,0.00005207098,0.00001309938,0.00006094817,0.00001373894,0.000741465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8527765,"threshold_uncertainty_score":0.4282867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903736740489924,"score_gpt":0.2788255910594093,"score_spread":0.25978822365451,"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."}}