{"id":"W4394012976","doi":"10.1007/s00253-024-13126-1","title":"Associations between the rumen microbiota and carcass merit and meat quality in beef cattle","year":2024,"lang":"en","type":"article","venue":"Applied Microbiology and Biotechnology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Marbled meat; Intramuscular fat; Rumen; Beef cattle; Biology; Food science; Prevotella; Microbiome; Animal science; Palatability; Ruminococcus; Ruminant; Biotechnology; Bacteria; Agronomy; Fermentation; Pasture","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002768764,0.0001543881,0.0003010822,0.0000417661,0.000217544,0.00003332653,0.0001289685,0.0005241182,0.00001727927],"category_scores_gemma":[0.0000246871,0.0000633431,0.00002677412,0.0002505386,0.0008140039,0.00002946235,0.0002023757,0.0003310994,0.00001183912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000015381,"about_ca_system_score_gemma":0.000006785529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002537103,"about_ca_topic_score_gemma":0.0008240226,"domain_scores_codex":[0.9989139,0.00009778025,0.0002306863,0.0004507766,0.00001783772,0.0002890613],"domain_scores_gemma":[0.9993945,0.0004503656,0.00005009383,0.00005847468,0.00001240139,0.00003414948],"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":[0.00001122899,0.00001953068,0.008504028,0.000008496711,0.0000245699,0.000001495522,0.00005750921,1.559723e-8,0.9533584,0.02016602,0.0002720674,0.01757671],"study_design_scores_gemma":[0.0004291767,0.0002455629,0.8375347,0.00002780968,0.00004605035,0.0001054436,0.0005904217,0.000001862148,0.08491594,0.01254066,0.06316246,0.0003998915],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703254,0.002682378,0.000002463128,0.02609704,0.00005172809,0.0002286089,0.0003857722,0.0000795058,0.0001471592],"genre_scores_gemma":[0.9984444,0.0008057336,0.0000462892,0.0003820477,0.00005483951,0.0000166656,0.0002036845,0.000001391145,0.00004490693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8684424,"threshold_uncertainty_score":0.4042479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188408754442301,"score_gpt":0.243939625247833,"score_spread":0.2250987498036029,"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."}}