{"id":"W2953324480","doi":"10.1093/femsec/fiz095","title":"Space, time and captivity: quantifying the factors influencing the fecal microbiome of an alpine ungulate","year":2019,"lang":"en","type":"article","venue":"FEMS Microbiology Ecology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Alaska Department of Fish and Game; Trent University; Massachusetts Department of Fish and Game","keywords":"Biology; Ungulate; Captivity; Microbiome; Feces; Ecology; Zoology; Host (biology); Population; Habitat; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000522959,0.0002704368,0.0004158303,0.00007965792,0.0002214602,0.0000172459,0.0003952882,0.0004622751,0.00009993569],"category_scores_gemma":[0.00004012432,0.0001667289,0.0000998874,0.0001224615,0.0006251353,0.000008116787,0.0003296283,0.0002796066,0.00006775284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002531374,"about_ca_system_score_gemma":0.0001372598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002434308,"about_ca_topic_score_gemma":0.0009030586,"domain_scores_codex":[0.9981652,0.0003903485,0.000356024,0.0005247469,0.00002662113,0.0005370473],"domain_scores_gemma":[0.9989019,0.0001137533,0.0002551636,0.0005821798,0.00008018647,0.00006679809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006311377,0.00004480854,0.05209636,0.00002048043,0.00009421998,0.000001396964,0.0002982642,0.00001678159,0.9468504,0.00004730407,0.0003929214,0.00007394142],"study_design_scores_gemma":[0.001462966,0.001639132,0.4830649,0.00002552994,0.00008629387,0.0006107588,0.0006937258,0.00005069494,0.4835244,0.00003655598,0.02828924,0.0005158521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978098,0.0005507951,0.000005510705,0.0005403002,0.000384067,0.0005091554,0.0001069276,0.0000150271,0.0000784761],"genre_scores_gemma":[0.9980712,0.0000688979,0.0001208428,0.0006559185,0.00007374508,0.000006218093,0.0003205103,0.00002950548,0.0006531699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4633261,"threshold_uncertainty_score":0.6799006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104393006589078,"score_gpt":0.2473503705529706,"score_spread":0.2369110698940628,"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."}}