{"id":"W4409805008","doi":"10.1128/msphere.00090-25","title":"Host-specific microbiome-rumination interactions shape methane-yield phenotypes in dairy cattle","year":2025,"lang":"en","type":"article","venue":"mSphere","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"U.S. Department of Agriculture","keywords":"Methanogenesis; Rumen; Microbiome; Biology; Prevotella; Nitrite reductase; Food science; Fermentation; Lachnospiraceae; Bacteria; Animal science; Defaunation; Methanogen; Microbiology; Nitrate reductase; Ecology; Nitrate; Bioinformatics; Firmicutes; 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":[0.0004633092,0.0002501879,0.0003291897,0.000389973,0.0002477196,0.0007955146,0.000129935,0.0003921693,0.001116014],"category_scores_gemma":[0.0005854613,0.0002440452,0.0002175307,0.0004022725,0.0002256557,0.0002764938,0.0003317777,0.0003554266,0.0002068106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002945685,"about_ca_system_score_gemma":0.0001519787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002470882,"about_ca_topic_score_gemma":0.004178197,"domain_scores_codex":[0.9997061,0.00009169374,0.0000114762,0.00007875788,0.00003711845,0.00007498355],"domain_scores_gemma":[0.9996651,0.00007127719,0.0001331271,0.00002086601,0.00002913542,0.00008049756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001263176,0.0001660767,0.8620641,0.00004403975,0.0001971864,0.0001050349,0.0005135163,0.0003344823,0.1292268,0.00004579841,0.0001685499,0.005871264],"study_design_scores_gemma":[0.000001790155,0.00009490889,0.9984774,0.000003175403,0.00001699422,0.00004418032,0.0002198703,0.0003458961,0.0006802844,0.00002240496,0.00008996332,0.000003187922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995123,0.00008356956,0.0001453148,0.000009572563,0.00000108616,0.000001609305,0.0001628361,0.000002943689,0.00008077839],"genre_scores_gemma":[0.9993661,0.00003798468,0.0001826174,0.00001998372,0.000001956501,0.000004469379,0.0001947064,0.00000373118,0.0001885671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002470882,"threshold_uncertainty_score":0.004913032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433561103502361,"score_gpt":0.2552603208848406,"score_spread":0.230924709849817,"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."}}