{"id":"W2984285139","doi":"10.1002/ece3.5768","title":"Geography, seasonality, and host‐associated population structure influence the fecal microbiome of a genetically depauparate Arctic mammal","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Nunavut; Canadian Science Centre for Human and Animal Health; University of Calgary; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet; Polar Knowledge Canada","keywords":"Host (biology); Arctic; Mammal; Ecology; Microbiome; Seasonality; Population; Biology; Geography; Feces; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000178281,0.0001702549,0.0001402018,0.0003371013,0.000522617,0.0003623335,0.0001391986,0.0001238929,0.001032957],"category_scores_gemma":[0.0003836199,0.00008780558,0.0001127999,0.00033904,0.0002912842,0.0001428208,0.0002339923,0.0001137523,0.0000928107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000428955,"about_ca_system_score_gemma":0.0005048494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08054886,"about_ca_topic_score_gemma":0.2927839,"domain_scores_codex":[0.9998648,0.00002871755,0.000005538851,0.00004326362,0.00002497472,0.00003268445],"domain_scores_gemma":[0.9998093,0.00002779199,0.00007911442,0.00001307019,0.0000287301,0.00004194572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009555501,0.00001887051,0.9616654,0.00001890569,0.00007630045,0.00008671903,0.0005624527,0.0001148828,0.03154066,0.00006271654,0.00006241987,0.005695247],"study_design_scores_gemma":[2.630862e-7,0.00001542677,0.9993111,0.000001796197,0.000005588211,0.0000367438,0.0002660943,0.00004844649,0.0001734398,0.000009318463,0.0001308139,0.000001013286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995566,0.00007279887,0.0000776013,0.000008915349,9.531705e-7,0.000001273318,0.00005752892,0.000001119612,0.0002231909],"genre_scores_gemma":[0.9994111,0.000062912,0.0002147061,0.00001024334,0.000001456831,0.000001897533,0.00008229526,0.000001499674,0.0002138332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08054886,"threshold_uncertainty_score":0.16016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00287426834216345,"score_gpt":0.219348186419079,"score_spread":0.2164739180769155,"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."}}