{"id":"W3047538577","doi":"10.1101/2020.08.04.236638","title":"Gut microbiome composition predicts summer core range size in a generalist and specialist ungulate","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Federation of Anglers and Hunters; Ministry of Natural Resources and Forestry; Ministry of Forests; Trent University","funders":"Habitat Conservation Trust Foundation; Compute Canada","keywords":"Ungulate; Odocoileus; Generalist and specialist species; Biology; Firmicutes; Microbiome; Ecology; Range (aeronautics); Carnivore; Habitat; Home range; Zoology; Predation; 16S ribosomal RNA","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":[0.0002543692,0.0001951033,0.0002333405,0.000657026,0.0002641399,0.0004213838,0.0001319522,0.0002755007,0.001180013],"category_scores_gemma":[0.0006056995,0.0001453565,0.0001717685,0.0003504321,0.0002246928,0.000279497,0.0003244324,0.0001915136,0.0001673897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127375,"about_ca_system_score_gemma":0.00006069034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002601057,"about_ca_topic_score_gemma":0.006790263,"domain_scores_codex":[0.9999019,0.00002090251,0.000006470739,0.00003845373,0.00001169596,0.00002058064],"domain_scores_gemma":[0.9994652,0.00008287104,0.00027038,0.00003476557,0.00004608054,0.0001007953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009017339,0.00001864121,0.9951158,0.000006434057,0.0000239088,0.0000206607,0.0001057955,0.00007570231,0.003723701,0.000008552974,0.00004172836,0.0007688209],"study_design_scores_gemma":[7.443096e-7,0.00003093523,0.9993886,0.00000270149,0.000004502008,0.0000629227,0.0001405881,0.0002590108,0.00006807019,0.0000105739,0.00003040031,0.000001014173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997516,0.00002869065,0.00006744938,0.000002984262,4.90676e-7,8.80902e-7,0.00008182816,0.000001644585,0.00006432727],"genre_scores_gemma":[0.9995404,0.00001896012,0.0001504563,0.000007603836,0.000001856288,0.000003641527,0.0002204537,0.000001750982,0.00005480289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002601057,"threshold_uncertainty_score":0.005171776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030994422884999,"score_gpt":0.2430743213280339,"score_spread":0.2227643770991839,"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."}}