{"id":"W2774632352","doi":"10.1098/rstb.2017.0089","title":"Livestock abundance predicts vampire bat demography, immune profiles and bacterial infection risk","year":2018,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Sigma Xia; American Society of Mammalogists; Wellcome Trust; American Museum of Natural History; Division of Environmental Biology; Achievement Rewards for College Scientists Foundation; Medical Research Council; Wellcome; Bat Conservation International; University of Georgia","keywords":"Biology; Livestock; Provisioning; Wildlife; Ecology; Foraging; Innate immune system; Immunity; Host (biology); Zoology; Acquired immune system; Pathogen; Immune system; Immunology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004262646,0.0001209009,0.0001207827,0.0004238961,0.0002428276,0.0004329201,0.0002138796,0.0003224172,0.00198728],"category_scores_gemma":[0.001071331,0.0002056283,0.0001709065,0.0003132023,0.0002537532,0.0003692434,0.0003304664,0.0002671609,0.0002493994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002432433,"about_ca_system_score_gemma":0.0001154804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009488791,"about_ca_topic_score_gemma":0.02417183,"domain_scores_codex":[0.9998838,0.00004807703,0.00000600388,0.00003509754,0.000005878188,0.00002120854],"domain_scores_gemma":[0.9993485,0.00019778,0.0002669497,0.00005786366,0.00004282326,0.00008616695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002389526,0.00001074268,0.9977576,0.000004844007,0.00001956332,0.00002646917,0.000131489,0.0002383475,0.0005851102,0.00003162035,0.00006684536,0.001103472],"study_design_scores_gemma":[9.395204e-7,0.00001782766,0.9989506,0.000004861793,0.000005278685,0.00006548147,0.0001726963,0.0006553201,0.00002136455,0.00003123409,0.00007325392,0.000001146633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995492,0.00007317029,0.00006658832,0.00003458881,7.341443e-7,0.000001455027,0.00007529739,0.000002333359,0.0001966065],"genre_scores_gemma":[0.999564,0.00005508094,0.0001414931,0.000009876448,0.000002185047,0.000003219497,0.00014534,0.000001604318,0.00007722182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009488791,"threshold_uncertainty_score":0.01886714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02532374134286166,"score_gpt":0.2784069263069913,"score_spread":0.2530831849641297,"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."}}