{"id":"W3037191683","doi":"10.3389/fmicb.2020.01311","title":"Comparative Microbiome Analysis Reveals the Ecological Relationships Between Rumen Methanogens, Acetogens, and Their Hosts","year":2020,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"State Key Laboratory of Genetic Resources and Evolution; Kunming Institute of Zoology, Chinese Academy of Sciences; People's Government of Jilin Province; Danmarks Frie Forskningsfond; Chinese Academy of Sciences; Lundbeckfonden; National Natural Science Foundation of China","keywords":"Rumen; Biology; Methanogen; Ruminant; Bovidae; Archaea; Methanogenesis; Metagenomics; Host (biology); Acetogenesis; Ecology; Zoology; Bacteria; Food science; Biochemistry; Pasture; Fermentation; Methane; 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":[0.000242442,0.0002082791,0.0003014375,0.001114554,0.0002871077,0.0003576736,0.0000829862,0.0002115956,0.0005148015],"category_scores_gemma":[0.000453553,0.0001151602,0.0002215629,0.0007931106,0.0001710068,0.0003375212,0.0004387861,0.0001469572,0.0001280446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007991513,"about_ca_system_score_gemma":0.0001118084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009418677,"about_ca_topic_score_gemma":0.001195951,"domain_scores_codex":[0.9997943,0.00003853414,0.00001853067,0.0000695554,0.0000294358,0.00004971095],"domain_scores_gemma":[0.9997768,0.00004149406,0.00007449646,0.00001448841,0.00003690456,0.0000558239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007044379,0.00006646686,0.5862213,0.0001684776,0.0002070607,0.0001874715,0.0007613231,0.0001312718,0.391661,0.00009860858,0.00007582339,0.01971678],"study_design_scores_gemma":[0.000002239475,0.0001384417,0.9956292,0.000007997369,0.00004408077,0.0002413395,0.0003513831,0.0003080941,0.002864374,0.00004012253,0.0003674261,0.000005176684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999084,0.0003687987,0.0002103584,0.000004352908,0.000001247671,0.000002377711,0.0001763657,0.000002147522,0.0001504042],"genre_scores_gemma":[0.9984893,0.0002426441,0.0005970231,0.00001287119,0.000003599687,0.000007098436,0.0005119353,0.000002264542,0.0001333382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001114554,"threshold_uncertainty_score":0.001872778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05258731014947497,"score_gpt":0.2452878800146331,"score_spread":0.1927005698651581,"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."}}