{"id":"W2149314026","doi":"10.1186/1476-072x-7-24","title":"Risk maps for range expansion of the Lyme disease vector, Ixodes scapularis, in Canada now and with climate change","year":2008,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":250,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Institut National de Santé Publique du Québec; Environment and Climate Change Canada; Birds Canada; Impact; International Development Research Centre; Université de Montréal; University of Guelph; Public Health Agency of Canada","funders":"Natural Resources Canada; Institut National de Santé Publique du Québec; Public Health Agency; Public Health Agency of Canada","keywords":"Ixodes scapularis; Lyme disease; Geography; Tick; Climate change; Vector (molecular biology); Ecology; Biology; Ixodidae; Virology","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":[0.0003525187,0.0001127838,0.0002499351,0.0002137488,0.0001567024,0.00000549443,0.0002191986,0.00004631921,0.00001124103],"category_scores_gemma":[0.0001119801,0.00007656017,0.00009489559,0.0001302392,0.0001583441,0.0001004613,0.00004412702,0.0002303519,3.461115e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001413107,"about_ca_system_score_gemma":0.001095627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1539475,"about_ca_topic_score_gemma":0.4098413,"domain_scores_codex":[0.9988368,0.0002073859,0.0004698916,0.0001177508,0.0001483281,0.0002198705],"domain_scores_gemma":[0.9986007,0.0001855887,0.0006983589,0.0001109716,0.0003484777,0.00005586136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006868897,0.000100767,0.9970449,0.00004493203,0.0001380056,0.00002009185,0.0001588233,0.00003018322,0.00004956166,0.0001429183,0.0003748728,0.00120803],"study_design_scores_gemma":[0.001921856,0.0001877251,0.9957631,0.000240135,0.00003436427,0.0002115853,0.0000920571,0.0000139117,0.00008503061,0.0001540383,0.001220997,0.0000752062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816992,0.01454467,0.00004210359,0.002057328,0.0008776942,0.0002737732,0.0004974076,0.000004215903,0.000003596592],"genre_scores_gemma":[0.9902537,0.009087174,0.00003551689,0.0005197466,0.00005366666,0.00001576217,0.0000204697,0.00001080823,0.000003088969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2558938,"threshold_uncertainty_score":0.8516865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510296763385802,"score_gpt":0.2499265090730041,"score_spread":0.2348235414391461,"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."}}