{"id":"W2063385932","doi":"10.1371/journal.pone.0085640","title":"Geography, Deer, and Host Biodiversity Shape the Pattern of Lyme Disease Emergence in the Thousand Islands Archipelago of Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Université de Montréal; University of Victoria; Ministry of Natural Resources and Forestry; Canadian Science Centre for Human and Animal Health; University of Guelph; Parks Canada","funders":"Parks Canada; University of Guelph; Public Health Agency; Public Health Agency of Canada; Ministry of Natural Resources","keywords":"Species richness; Tick; Lyme disease; Borrelia burgdorferi; Ixodes scapularis; Ecology; Biology; Abundance (ecology); Biodiversity; Ixodes; Relative species abundance; Nymph; Archipelago; Population; Geography; Ixodidae; Demography; Virology; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002248149,0.0002361221,0.0003082842,0.0009649916,0.002049618,0.001527558,0.0008081179,0.0003252562,0.001805317],"category_scores_gemma":[0.001179063,0.0003014406,0.0003520815,0.001801287,0.001115578,0.000321771,0.0007263546,0.0003198845,0.0001769598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01219516,"about_ca_system_score_gemma":0.0134245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906013,"about_ca_topic_score_gemma":0.997895,"domain_scores_codex":[0.9996717,0.0000345165,0.00001541858,0.00007058827,0.00007788138,0.0001298841],"domain_scores_gemma":[0.9986902,0.0001146796,0.0002582415,0.00004182731,0.0004237906,0.0004712938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007402104,0.00001729931,0.9939907,0.00002314735,0.00004734352,0.00008050947,0.0013992,0.000131709,0.0009947303,0.00009744248,0.00060409,0.00253989],"study_design_scores_gemma":[0.000001928794,0.000003668885,0.9984425,0.000009431175,0.000008175736,0.00001774945,0.00111231,0.0000919923,0.00001550525,0.00001222467,0.0002806842,0.000003923891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972615,0.0004400992,0.00005936876,0.0001569095,0.000004283745,0.00001128634,0.00051882,0.000005565248,0.001542025],"genre_scores_gemma":[0.9986088,0.0002695991,0.00009957935,0.00003399834,0.0000018724,0.000005578631,0.0002459578,0.000004002342,0.0007305552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01219516,"threshold_uncertainty_score":0.08848244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200755269935141,"score_gpt":0.1806801484057855,"score_spread":0.1686725957064341,"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."}}