{"id":"W3037102180","doi":"10.1007/s00248-020-01547-0","title":"Individual and Site-Specific Variation in a Biogeographical Profile of the Coyote Gastrointestinal Microbiota","year":2020,"lang":"en","type":"article","venue":"Microbial Ecology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Feces; Zoology; Gut flora; Microbiome; Ileum; Caecum; Bacteroidetes; Large intestine; Ecology; 16S ribosomal RNA; Immunology; Genetics; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001486832,0.0001140334,0.0003107938,0.0006708094,0.0003657255,0.0004981328,0.0001542113,0.0003360778,0.001688641],"category_scores_gemma":[0.0004254031,0.0001933844,0.0001324703,0.0005234648,0.0004294467,0.000246335,0.0006342433,0.0002566027,0.0002339872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154729,"about_ca_system_score_gemma":0.0001884647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005960007,"about_ca_topic_score_gemma":0.02580436,"domain_scores_codex":[0.999862,0.0000236494,0.000005444951,0.00006578612,0.00001464159,0.00002839872],"domain_scores_gemma":[0.9996864,0.00005374865,0.00008983581,0.00003689471,0.00005728835,0.00007580222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000526677,0.00005452508,0.7824076,0.00004440419,0.0001551031,0.00007969973,0.0009923849,0.0001284387,0.2088639,0.00009025255,0.0001530802,0.006503857],"study_design_scores_gemma":[7.800368e-7,0.00001810865,0.9994853,0.000001564371,0.000005623479,0.00003234586,0.0001549235,0.00003866338,0.000205439,0.000006961216,0.00004901339,0.000001345209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994521,0.00007003958,0.00008065059,0.000007424821,0.000001225967,0.000001934545,0.0001116817,0.000002064472,0.0002729309],"genre_scores_gemma":[0.9992977,0.0000467806,0.0001561681,0.00001143545,0.000001807505,0.000006670677,0.0001708859,0.000005717209,0.0003027625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005960007,"threshold_uncertainty_score":0.01185066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001715186579919,"score_gpt":0.2108330261782415,"score_spread":0.2008158743124423,"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."}}