{"id":"W4407007595","doi":"10.3390/microorganisms13020310","title":"Impact of Feed Composition on Rumen Microbial Dynamics and Phenotypic Traits in Beef Cattle","year":2025,"lang":"en","type":"article","venue":"Microorganisms","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of British Columbia; Agriculture and Agri-Food Canada; University of Alberta","funders":"Alberta Livestock and Meat Agency; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Rumen; Biology; Ruminant; Microbiome; Methanogen; Dry matter; Forage; Beef cattle; Animal science; Randomized block design; Food science; Animal feed; Agronomy; Fermentation; Bacteria; Pasture; Genetics","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":[0.0007430034,0.000200346,0.0003237141,0.0003167164,0.0002858971,0.0005149583,0.0001195232,0.0002294137,0.0004793783],"category_scores_gemma":[0.0005405214,0.0001618809,0.0001609466,0.0002199228,0.0003521659,0.0001942106,0.0001955173,0.0002195461,0.00007895766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004583909,"about_ca_system_score_gemma":0.0002013531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004724715,"about_ca_topic_score_gemma":0.008833195,"domain_scores_codex":[0.9995149,0.0001885997,0.00002843774,0.000101176,0.00007901076,0.000087766],"domain_scores_gemma":[0.9995876,0.0001284404,0.000112651,0.00002769704,0.00003849602,0.0001051843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008782654,0.0008505157,0.6819724,0.0000994805,0.0005350262,0.0001487061,0.0005714421,0.0004511809,0.2883332,0.00005815033,0.00009163848,0.01810562],"study_design_scores_gemma":[0.000008403605,0.0008929969,0.9964852,0.000003633354,0.00003537693,0.00003839356,0.0001183879,0.0002565077,0.002069993,0.00001191715,0.00007554113,0.000003556526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997838,0.00009236475,0.00005473297,0.000003703172,9.645086e-7,0.000001312198,0.00002797897,6.618288e-7,0.00003441607],"genre_scores_gemma":[0.9995593,0.00005133355,0.000142802,0.00001940337,0.000001911344,0.000003949443,0.00008643734,0.00000153489,0.0001332585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004724715,"threshold_uncertainty_score":0.009394407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008077240896684976,"score_gpt":0.2297076796612704,"score_spread":0.2216304387645854,"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."}}