{"id":"W4380533063","doi":"10.1002/ece3.10192","title":"Metabarcoding of fecal pellets in wild muskox populations reveals negative relationships between microbiome and diet alpha diversity","year":2023,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Government of Nunavut; University of Calgary; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet","keywords":"Microbiome; Biology; Ecology; Context (archaeology); Arctic; Biodiversity; Alpha diversity; Forage","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":[0.0003277933,0.0002367628,0.0002201048,0.0007907358,0.0004812385,0.0004278863,0.0001488193,0.0002281216,0.0007353626],"category_scores_gemma":[0.0005962515,0.0001652257,0.0002050941,0.0005712343,0.000283088,0.0002537182,0.0003851037,0.0001745611,0.0001345697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680033,"about_ca_system_score_gemma":0.0001378133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003360939,"about_ca_topic_score_gemma":0.01117652,"domain_scores_codex":[0.9997794,0.00003506423,0.00001681582,0.0001062604,0.0000331366,0.00002939043],"domain_scores_gemma":[0.9995738,0.00006230975,0.0001918381,0.00003711294,0.00008436074,0.00005058341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003155849,0.0000317307,0.8173625,0.00008654731,0.0002246516,0.00006076653,0.0005572038,0.0001423931,0.1732528,0.00006864448,0.0001240205,0.00777307],"study_design_scores_gemma":[0.000001276575,0.00005897003,0.9972938,0.000009328457,0.00002561643,0.00009969313,0.0002415872,0.0002137674,0.001736095,0.00002925837,0.0002867242,0.000003917819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985948,0.0001902391,0.000531593,0.00001203362,0.000003103162,0.000003432242,0.0004434737,0.000006699387,0.0002146069],"genre_scores_gemma":[0.9969802,0.0001096995,0.00168839,0.00004309522,0.000004192837,0.00001247474,0.0008420958,0.000009449949,0.0003103738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003360939,"threshold_uncertainty_score":0.006682754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0485560717882209,"score_gpt":0.2415011118681188,"score_spread":0.1929450400798979,"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."}}