{"id":"W2546597285","doi":"10.3389/fmicb.2016.01759","title":"Bacterial Genomics Reveal the Complex Epidemiology of an Emerging Pathogen in Arctic and Boreal Ungulates","year":2016,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests; Government of British Columbia; Canadian Natural Resources; Government of Nunavut; Government of Northwest Territories; University of Calgary","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; National Park Service; U.S. Geological Survey; Canadian Wildlife Health Cooperative; University of Glasgow; Parks Canada; University of Calgary; Weyerhaeuser Company","keywords":"Biology; Ecology; Wildlife; Arctic; Population; Ungulate; Range (aeronautics); Geography; Habitat","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":[0.001248459,0.0001896514,0.0005785073,0.0003041409,0.00009826184,0.000003338006,0.0002816655,0.0003427587,0.0002331625],"category_scores_gemma":[0.0002863902,0.0001196916,0.00007377281,0.0001640421,0.001124469,0.0000687976,0.0001784477,0.0002461965,0.0000145972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256078,"about_ca_system_score_gemma":0.00008580393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000847008,"about_ca_topic_score_gemma":0.0005554519,"domain_scores_codex":[0.996814,0.001490405,0.000607039,0.0004272804,0.000007644357,0.0006536237],"domain_scores_gemma":[0.9990093,0.0004136298,0.0001594815,0.0003307482,0.00004976592,0.00003712359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004540379,0.0000878807,0.1748206,0.00001849437,0.00005792267,0.000004290486,0.0002054845,0.000003675699,0.8154522,0.0002581462,0.001293135,0.007344141],"study_design_scores_gemma":[0.008989461,0.0009193139,0.8726172,0.0001955763,0.00008498375,0.0007011334,0.001133921,0.000039268,0.05261505,0.01134655,0.0505347,0.0008228447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952741,0.002284966,0.0003259351,0.0006772371,0.0007635779,0.0003230592,0.0003020388,0.00001364124,0.00003539909],"genre_scores_gemma":[0.9979794,0.0004890067,0.0009242403,0.0001249122,0.00004818628,0.00002159134,0.0002969865,0.0000162183,0.00009944946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7628372,"threshold_uncertainty_score":0.4880882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488536550407897,"score_gpt":0.2847590240448452,"score_spread":0.2598736585407662,"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."}}