{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001423481,0.0001037448,0.0001879259,0.00005009779,0.0001054665,0.000004419886,0.0002483446,0.00004102027,0.0003674042],"category_scores_gemma":[0.0000616114,0.00006706331,0.00004581695,0.00009437371,0.0002488644,0.00002754459,0.00008476654,0.0001460665,0.000004590831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001835919,"about_ca_system_score_gemma":0.0001814356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7658353,"about_ca_topic_score_gemma":0.9039223,"domain_scores_codex":[0.9992554,0.000191302,0.0001584984,0.000155822,0.00006425658,0.0001746898],"domain_scores_gemma":[0.9993762,0.0001936891,0.00009187744,0.0002743684,0.0000428927,0.00002099592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007097941,0.0004771373,0.9924145,0.00004395049,0.000215938,0.000001863339,0.001158894,7.291084e-7,0.004955861,0.00001027616,0.0003905136,0.0002593268],"study_design_scores_gemma":[0.000487546,0.00009839534,0.9953871,0.00003970364,0.0002084136,0.000001589961,0.0001746759,0.000005213803,0.003339273,0.00003272364,0.0001441867,0.00008117499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978885,0.00128739,0.000004253953,0.000211919,0.00005854833,0.0001865113,0.0002406878,0.000007254398,0.0001149248],"genre_scores_gemma":[0.9996408,0.00006825692,0.000001798713,0.0002129764,0.000006809603,0.000008638092,0.00003570504,0.000003362327,0.00002164826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.138087,"threshold_uncertainty_score":0.4022818,"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."}}