{"id":"W4241993249","doi":"10.1093/jmedent/47.1.99","title":"Ecological Niche Modeling of Lyme Disease in British Columbia, Canada","year":2010,"lang":"en","type":"article","venue":"Journal of Medical Entomology","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control","funders":"Centers for Disease Control and Prevention; British Columbia Centre for Disease Control; Public Health Agency","keywords":"Environmental niche modelling; Lyme disease; Ecology; Ixodes; Ecological niche; Geography; Niche; Tick; Borrelia burgdorferi; Ixodes ricinus; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002572692,0.0003642116,0.0002674384,0.0008895958,0.0009912933,0.00118611,0.0009135524,0.0003101669,0.001663421],"category_scores_gemma":[0.0009451619,0.0002685266,0.0003088423,0.001196674,0.0003706602,0.0003397018,0.0004173553,0.0003355338,0.000159822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01148793,"about_ca_system_score_gemma":0.01066358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850633,"about_ca_topic_score_gemma":0.9786332,"domain_scores_codex":[0.9998702,0.00002622654,0.000004870823,0.00002505587,0.00002157377,0.00005211822],"domain_scores_gemma":[0.9997593,0.00005702478,0.00002626385,0.000008901369,0.0001119045,0.00003672917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008077161,0.00004414806,0.05452374,0.00003524591,0.00005305463,0.0001665422,0.0001871188,0.9216706,0.0006386999,0.003611377,0.002779302,0.01620944],"study_design_scores_gemma":[0.00001554491,0.00000703503,0.01849316,0.00001553011,0.00001106571,0.00003296502,0.0002182498,0.9777766,0.00007944021,0.001114847,0.002223552,0.00001188775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649333,0.001262587,0.01773735,0.0006165045,0.00002230875,0.00006356663,0.002837109,0.0002250338,0.01230218],"genre_scores_gemma":[0.9902192,0.0003920764,0.005537906,0.00003760742,0.000003070088,0.00002588655,0.0008987357,0.00002763551,0.002857995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01493669,"threshold_uncertainty_score":0.08335114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007987961624012049,"score_gpt":0.2383985230917927,"score_spread":0.2304105614677806,"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."}}