{"id":"W2149649532","doi":"10.1128/aem.03983-12","title":"Changes in the Rumen Epimural Bacterial Diversity of Beef Cattle as Affected by Diet and Induced Ruminal Acidosis","year":2013,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Alberta Crop Industry Development Fund","keywords":"Biology; Temperature gradient gel electrophoresis; Rumen; Pyrosequencing; Population; Microbiome; Ruminococcus; Forage; Animal science; Lactobacillus; Acidosis; Microbiology; Food science; Bacteria; 16S ribosomal RNA; Agronomy; Biochemistry; Genetics; Endocrinology; Gene; Fermentation","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":[0.00005197142,0.0001030366,0.0001568665,0.000008211391,0.0001241509,0.000008326142,0.0001010938,0.00009796956,0.0003690671],"category_scores_gemma":[0.000002117596,0.00004209213,0.00001686899,0.00003841315,0.0002684106,0.00003013999,0.0002660144,0.00006817301,0.00001720166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008546396,"about_ca_system_score_gemma":6.511517e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005115048,"about_ca_topic_score_gemma":0.0001029192,"domain_scores_codex":[0.9994587,0.00006526794,0.00008563376,0.000195815,0.00002349423,0.0001710523],"domain_scores_gemma":[0.9998057,0.00008360809,0.00004745679,0.00002847497,0.000001606324,0.00003313899],"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":[0.00005854449,0.0001113443,0.006334793,0.000002592106,0.000005368739,2.647174e-7,0.0001480249,9.994079e-9,0.9862118,0.00002961495,0.0002080012,0.006889592],"study_design_scores_gemma":[0.0003878756,0.0007767418,0.909972,0.00000275888,0.000007701754,0.00001249469,0.001317836,3.534977e-7,0.08637416,0.0002770952,0.0007570687,0.0001139549],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985122,0.00006456301,4.025653e-8,0.0009049393,0.00002236447,0.000236368,0.0001317639,0.000004763807,0.0001230155],"genre_scores_gemma":[0.9990491,0.0001829918,0.000004294749,0.0003323108,0.00002687946,0.00002517558,0.0003677931,5.818798e-7,0.00001087501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9036372,"threshold_uncertainty_score":0.4041026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008022236821818459,"score_gpt":0.1690361387739932,"score_spread":0.1610139019521748,"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."}}