{"id":"W4410438009","doi":"10.3389/fvets.2025.1584959","title":"Temporal changes in ruminal microbiota composition and diversity in dairy cows supplemented with a lactobacilli-based DFM","year":2025,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biology; Rumen; Animal science; Microbial population biology; Eubacterium; Microbiome; Dairy cattle; Beta diversity; Composition (language); Alpha diversity; Ruminococcus; Lactobacillus; Food science; Biotechnology; Bacteria; Biodiversity; Ecology; Fermentation; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002658668,0.0001752576,0.0004271033,0.0002665386,0.0002402586,0.0004059432,0.0001166878,0.0002328855,0.000533758],"category_scores_gemma":[0.0002701745,0.0001228567,0.000179459,0.0002137801,0.0001370117,0.000141594,0.0002639936,0.0002142615,0.00008514588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003288504,"about_ca_system_score_gemma":0.0001646884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476165,"about_ca_topic_score_gemma":0.003142373,"domain_scores_codex":[0.9998326,0.00003765471,0.0000115684,0.00005183309,0.00003263873,0.00003358653],"domain_scores_gemma":[0.9998412,0.00001949656,0.00006242862,0.000008443906,0.00002701076,0.00004126174],"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":[0.0158395,0.0005923034,0.1760584,0.0002231611,0.0001799428,0.0001369228,0.000438554,0.0001240756,0.7822255,0.00002608548,0.0001155162,0.02404001],"study_design_scores_gemma":[0.00007523275,0.008975714,0.9405218,0.00003788035,0.0001524128,0.00017303,0.0008211136,0.000544811,0.04696476,0.00003351423,0.001684651,0.00001496803],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995794,0.0002311673,0.00005312523,0.000007479569,0.000001829317,0.000003704969,0.00007051131,0.000001310518,0.00005144661],"genre_scores_gemma":[0.9986125,0.0001756687,0.0004797382,0.0000401735,0.000004375282,0.00002549062,0.0002580567,0.000001176856,0.0004027683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001476165,"threshold_uncertainty_score":0.002935171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02223400771612528,"score_gpt":0.2402984198749885,"score_spread":0.2180644121588632,"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."}}