{"id":"W3177629850","doi":"10.1016/j.animal.2021.100304","title":"Association between fecal methanogen species with methane production and grazed forage intake of beef heifers classified for residual feed intake under drylot conditions","year":2021,"lang":"en","type":"article","venue":"animal","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"Alberta Livestock and Meat Agency; Emissions Reduction Alberta; Alberta Agriculture and Forestry; Climate Change and Emissions Management Corporation","keywords":"Methanogen; Beef cattle; Residual feed intake; Animal science; Feces; Biology; Pasture; Grazing; Population; Forage; Agronomy; Environmental science; Feed conversion ratio; Methane; Ecology; Body weight","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001935561,0.0001676882,0.000185268,0.0004542505,0.0001563506,0.0002701683,0.00009889673,0.0002213024,0.0005873733],"category_scores_gemma":[0.0003915137,0.0001820797,0.0001230198,0.0002164103,0.0002231741,0.0001520279,0.0001703337,0.0002287329,0.00009600606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714407,"about_ca_system_score_gemma":0.00009567156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003519655,"about_ca_topic_score_gemma":0.006615123,"domain_scores_codex":[0.9998587,0.00002536181,0.0000124864,0.00003991221,0.00002101127,0.00004243717],"domain_scores_gemma":[0.9995744,0.00008367652,0.0001724575,0.00002322935,0.0000350755,0.0001112514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000805321,0.00009166775,0.9695286,0.000007025994,0.0000347827,0.00004227622,0.0001575953,0.00004746222,0.02780054,0.00000756471,0.00001202736,0.001465117],"study_design_scores_gemma":[0.000001316457,0.0001824644,0.9992878,5.524345e-7,0.000007399017,0.00004204965,0.00006276474,0.00006476323,0.0003340977,0.000002142548,0.00001390897,7.693177e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999228,0.00001661567,0.00001833049,0.000001158784,1.717091e-7,4.863766e-7,0.00001756448,2.958515e-7,0.00002261234],"genre_scores_gemma":[0.9996586,0.00001788686,0.00006386713,0.000003604136,9.524779e-7,0.000001743242,0.00007541278,4.919657e-7,0.000177432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003519655,"threshold_uncertainty_score":0.00699836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05203082254377663,"score_gpt":0.2670737218391066,"score_spread":0.21504289929533,"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."}}