{"id":"W2794740186","doi":"10.3390/ijerph15040603","title":"Multi-Scale Clustering of Lyme Disease Risk at the Expanding Leading Edge of the Range of Ixodes scapularis in Canada","year":2018,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ste. Anne's Hospital; Institut National de Santé Publique du Québec; Université de Montréal; Public Health Agency of Canada; Cegep de Saint Hyacinthe","funders":"","keywords":"Ixodes scapularis; Lyme disease; Range (aeronautics); Ixodes; Cluster analysis; Scale (ratio); Borrelia burgdorferi; Geography; Medicine; Virology; Computer science; Immunology; Cartography; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003200901,0.0002446467,0.0003411914,0.001525322,0.00167406,0.001074912,0.0006284611,0.0002366001,0.001671794],"category_scores_gemma":[0.001111276,0.0001654283,0.0003008959,0.002147,0.0006857527,0.0002441318,0.0006865351,0.0003129677,0.0001511924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01347619,"about_ca_system_score_gemma":0.01040684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919707,"about_ca_topic_score_gemma":0.9959432,"domain_scores_codex":[0.9996087,0.00003761366,0.00001314657,0.0001002054,0.00007637151,0.000164017],"domain_scores_gemma":[0.9988549,0.00008784248,0.0001738636,0.00003778353,0.0005672096,0.0002784099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007965574,0.00001816868,0.9872365,0.00002858542,0.00006468665,0.0001089626,0.001107293,0.001033711,0.00154835,0.0001646676,0.0009791557,0.007630135],"study_design_scores_gemma":[0.000001921397,0.000006161608,0.9974852,0.00001227409,0.000009217519,0.00002174264,0.001005322,0.0009282109,0.00005988161,0.00002031653,0.0004422602,0.000007463891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973804,0.000314969,0.0002387576,0.0001224512,0.000003876989,0.00001693306,0.0008713458,0.00001262518,0.001038481],"genre_scores_gemma":[0.9987702,0.0001054267,0.0002049601,0.00001880688,0.000001207884,0.000004585762,0.0004078774,0.000002705538,0.0004842001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01347619,"threshold_uncertainty_score":0.09777707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04101713312099884,"score_gpt":0.3321899149568092,"score_spread":0.2911727818358103,"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."}}