{"id":"W3109436453","doi":"10.3389/fmicb.2020.596882","title":"Unveiling the Biogeography and Potential Functions of the Intestinal Digesta- and Mucosa-Associated Microbiome of Donkeys","year":2020,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Department of Education of Liaoning Province; China Postdoctoral Science Foundation; Ministry of Science and Technology of the People's Republic of China","keywords":"Biology; Firmicutes; Cecum; Microbiome; Small intestine; Ileum; Intestinal mucosa; Microbial metabolism; Donkey; Lactobacillus; Microbiology; Large intestine; Gut flora; Jejunum; Bacteria; Biochemistry; Ecology; Internal medicine; Bioinformatics; 16S ribosomal RNA; 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":[0.0003272487,0.0005813299,0.0005664509,0.0007693842,0.0005496214,0.0009080678,0.0002472576,0.000581319,0.00121639],"category_scores_gemma":[0.0004231411,0.000330221,0.0003593001,0.0004020036,0.0005904057,0.001062055,0.0006724749,0.0003942508,0.0003412897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000328274,"about_ca_system_score_gemma":0.0004195951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003402535,"about_ca_topic_score_gemma":0.006828193,"domain_scores_codex":[0.9996934,0.000047866,0.00002112224,0.0001363458,0.00002513268,0.0000762227],"domain_scores_gemma":[0.999783,0.00003213446,0.00006330459,0.00002079673,0.00004370277,0.0000570493],"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":[0.001131654,0.0001021372,0.1991746,0.0006361558,0.0001925768,0.000901841,0.001688342,0.0003160073,0.7836046,0.0005092011,0.0003501015,0.01139273],"study_design_scores_gemma":[0.00001930683,0.0006500041,0.9623774,0.0001383934,0.0002604991,0.001672291,0.003402177,0.000796205,0.02471339,0.0004449894,0.005468559,0.0000568675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972956,0.000780559,0.0008181858,0.0000553885,0.00001742689,0.00001095732,0.0004982914,0.000008031147,0.0005156696],"genre_scores_gemma":[0.9950683,0.0007738783,0.001885647,0.0001833369,0.00001456695,0.0000487772,0.000886339,0.00002706226,0.001112089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003402535,"threshold_uncertainty_score":0.006765425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784918143908064,"score_gpt":0.2708535807484705,"score_spread":0.2430043993093899,"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."}}