{"id":"W3086975900","doi":"10.1371/journal.pone.0238126","title":"Species distribution models for the eastern blacklegged tick, Ixodes scapularis, and the Lyme disease pathogen, Borrelia burgdorferi, in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Guelph; University of Ottawa","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Wildlife Health Cooperative; Public Health Agency; Public Health Agency of Canada","keywords":"Ixodes scapularis; Borrelia burgdorferi; Tick; Lyme disease; Amblyomma americanum; Biology; Borrelia; Ixodes; Ecology; Geography; Veterinary medicine; Ixodidae; Virology; Medicine; 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":[0.0001234099,0.0001846894,0.0002912106,0.00001424662,0.0002616564,0.0000401395,0.0002039786,0.00007150177,0.0001445641],"category_scores_gemma":[0.0003010662,0.0001195175,0.00007066075,0.00008372541,0.0002728597,0.00007992749,0.0001045758,0.0002412547,0.000012318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001699393,"about_ca_system_score_gemma":0.0004688086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5696773,"about_ca_topic_score_gemma":0.8368214,"domain_scores_codex":[0.9989352,0.000151011,0.0002420438,0.0002861342,0.00007706555,0.0003085769],"domain_scores_gemma":[0.9991863,0.0003316075,0.000082252,0.0002569706,0.00007803622,0.00006480299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01322183,0.003109481,0.8760283,0.0005315486,0.004588344,0.00007970228,0.006837876,0.001780801,0.04751316,0.01891043,0.02678607,0.0006124628],"study_design_scores_gemma":[0.01860222,0.0004991437,0.9058864,0.0004065834,0.004004347,0.00001543295,0.001673566,0.03462716,0.009561772,0.004483654,0.01877414,0.001465559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863015,0.005675627,0.0006031136,0.00520012,0.0001197756,0.0009957742,0.0009994602,0.00004206074,0.00006261514],"genre_scores_gemma":[0.9977201,0.0001305973,0.000006576624,0.0008257035,0.00005349363,0.0001939001,0.0005033573,0.00001650264,0.0005497714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2671441,"threshold_uncertainty_score":0.4873781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032138181911483,"score_gpt":0.1864329069867202,"score_spread":0.1561115251676053,"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."}}