{"id":"W4213308261","doi":"10.5864/d2021-025","title":"Spatial epidemiological analysis of Lyme disease in southern Ontario utilizing Google Trends searches","year":2021,"lang":"en","type":"article","venue":"Environmental Health Review","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Lyme disease; Epidemiology; Poisson regression; Public health; LYME; Disease; Medicine; Population; Environmental health; Geography; Borrelia burgdorferi; Pathology; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000516411,0.0003153849,0.0003221461,0.004436985,0.0006319862,0.001018666,0.0004685558,0.0001709831,0.001864543],"category_scores_gemma":[0.002090709,0.0002047551,0.0006672836,0.009747912,0.0003507031,0.0004594539,0.0006035917,0.0002231009,0.000165016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009478167,"about_ca_system_score_gemma":0.01265765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9661896,"about_ca_topic_score_gemma":0.9824216,"domain_scores_codex":[0.9995383,0.00005429939,0.00004535681,0.00005869708,0.0002206101,0.00008279716],"domain_scores_gemma":[0.9987364,0.0001603878,0.0003574433,0.0000388357,0.0006132119,0.00009368114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001416324,0.00002602423,0.8386892,0.003923263,0.0005238224,0.0005537127,0.004904012,0.002584489,0.001287772,0.001437501,0.01481956,0.131109],"study_design_scores_gemma":[0.000006310274,0.00003009668,0.9782913,0.0004737486,0.0001340139,0.0001560219,0.002263484,0.00119844,0.0001107708,0.0001381363,0.01717652,0.00002126925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8614774,0.07491271,0.003352688,0.004019736,0.000134159,0.0002522353,0.03492157,0.0001831491,0.02074631],"genre_scores_gemma":[0.936129,0.04620701,0.002978842,0.0001861278,0.00006862915,0.00007590421,0.009941585,0.00002434102,0.004388615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03381038,"threshold_uncertainty_score":0.06876922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05004166202353899,"score_gpt":0.3199634692699815,"score_spread":0.2699218072464425,"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."}}