{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001510094,0.00008874733,0.000119019,0.00002441757,0.0001008522,0.000008222115,0.00005787391,0.0002250014,0.00001487359],"category_scores_gemma":[0.00003315872,0.00007112772,0.00002881126,0.00006579134,0.0001424635,0.000004766186,0.00007057441,0.00009199655,0.000001898469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001614136,"about_ca_system_score_gemma":0.00003842727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001466836,"about_ca_topic_score_gemma":0.0006849754,"domain_scores_codex":[0.9993266,0.0001039365,0.0001453013,0.0002084755,0.00003679994,0.0001788264],"domain_scores_gemma":[0.999675,0.0000171992,0.00008802353,0.000114255,0.00006773227,0.00003780335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004193824,0.00001212861,0.5949243,0.00002201502,0.00002072524,1.571128e-7,0.00001202296,0.00001278595,0.4047892,0.0001281541,0.00001927694,0.00001719095],"study_design_scores_gemma":[0.0003964636,0.0002581526,0.9972895,0.000009321539,0.00002526003,0.00003356206,0.00001154016,0.00005472464,0.001374684,0.0004096916,0.00005938102,0.00007773253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987773,0.0006421079,0.0000140271,0.0002254458,0.00008171294,0.0002072822,0.00003680832,0.000004095767,0.0000111875],"genre_scores_gemma":[0.9994823,0.00008426634,0.0000905838,0.0001768102,0.00002582998,0.000002786496,0.00009633827,0.00000507418,0.00003599273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4034145,"threshold_uncertainty_score":0.2900504,"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."}}