{"id":"W2264569645","doi":"10.15232/s1080-7446(15)30076-0","title":"REVIEW: The rumen microbiome: Composition, abundance, diversity, and new investigative tools","year":2014,"lang":"en","type":"article","venue":"The Professional Animal Scientist","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lallemand (Canada); National Research Council Canada","funders":"","keywords":"Rumen; Biology; Microbiome; Metagenomics; Microorganism; Ciliate; Bacteria; Abundance (ecology); Composition (language); Biotechnology; Food science; Ecology; Biochemistry; Genetics; Fermentation","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":[0.002003303,0.001455,0.002650532,0.004352126,0.0003543125,0.002073701,0.001662834,0.002434975,0.003663762],"category_scores_gemma":[0.004611078,0.0003969512,0.0006618538,0.005326902,0.0008305411,0.003385623,0.0009789529,0.001609914,0.002868046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008860138,"about_ca_system_score_gemma":0.002147799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008150222,"about_ca_topic_score_gemma":0.001163758,"domain_scores_codex":[0.99913,0.0001831328,0.000182702,0.0001608737,0.0002891179,0.00005430605],"domain_scores_gemma":[0.9952803,0.001917562,0.0006143845,0.0001051125,0.00164543,0.0004371697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002882814,0.00006199579,0.0006231022,0.04897066,0.0002633107,0.0004805831,0.0000856128,0.0001979343,0.002574603,0.001025767,0.1956013,0.7498268],"study_design_scores_gemma":[0.00003480979,0.0001581202,0.003312142,0.01199667,0.0003287913,0.002961609,0.0002078518,0.00009711612,0.0008099597,0.000988828,0.9790566,0.00004747284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008940348,0.9968176,0.0001048974,0.001020981,0.001713104,0.000005413174,0.00002867028,0.000006506906,0.0002132716],"genre_scores_gemma":[0.0004904477,0.9958049,0.0002140812,0.0006605303,0.002460935,0.000007703098,0.0000562391,0.000002262874,0.0003028961],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004352126,"threshold_uncertainty_score":0.01225644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04731767560893734,"score_gpt":0.2635496603644288,"score_spread":0.2162319847554915,"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."}}