{"id":"W4406209447","doi":"10.1093/tas/txae182","title":"Essential oil blend and monensin for feedlot steers consuming backgrounding and finishing diets: growth performance, methane emissions using the GreenFeed system, and feeding behavior","year":2025,"lang":"en","type":"article","venue":"Translational Animal Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Monensin; Feedlot; Methane emissions; Methane; Animal science; Environmental science; Chemistry; Biology; Organic chemistry","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":[0.0003215616,0.0003845519,0.0006445204,0.0002433525,0.0003089993,0.0004168933,0.0001958918,0.0002963425,0.000534431],"category_scores_gemma":[0.0002975678,0.000177768,0.000324076,0.000187678,0.0001896487,0.0002529231,0.0002010818,0.0003554611,0.0001054885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000627104,"about_ca_system_score_gemma":0.0004178514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007481625,"about_ca_topic_score_gemma":0.02195382,"domain_scores_codex":[0.99976,0.00005097423,0.00001974122,0.00005660183,0.0000642462,0.00004837556],"domain_scores_gemma":[0.9996772,0.0000402171,0.00008623567,0.00001662585,0.00004663157,0.0001330786],"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":[0.05270658,0.004885246,0.03056051,0.0001973588,0.0002395117,0.00010673,0.0002599629,0.0002302636,0.8944814,0.00002345651,0.00008540882,0.01622362],"study_design_scores_gemma":[0.000614943,0.1347632,0.5879785,0.00004380821,0.0006577898,0.000274595,0.001055588,0.00214698,0.2705101,0.00004943966,0.001847744,0.0000572361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997879,0.00005910342,0.00005551553,0.000004958726,0.000001879051,0.000006112194,0.0000398404,0.000002580047,0.0000421501],"genre_scores_gemma":[0.9980091,0.0001147004,0.0007212275,0.00003833595,0.000003400018,0.00002073394,0.0002042913,0.0000046963,0.0008834279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007481625,"threshold_uncertainty_score":0.01487619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03808976570805896,"score_gpt":0.280502650008228,"score_spread":0.2424128843001691,"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."}}