{"id":"W2622049804","doi":"10.1289/ehp57","title":"Expansion of the Lyme Disease Vector <i>Ixodes Scapularis</i> in Canada Inferred from CMIP5 Climate Projections","year":2017,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Université du Québec à Montréal; Dalhousie University; St. Francis Xavier University","funders":"","keywords":"Ixodes scapularis; Coupled model intercomparison project; Climate change; Environmental science; Lyme disease; Climate model; Climatology; Representative Concentration Pathways; Hindcast; Geography; Tick; Ecology; Meteorology; Biology; Geology","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":[0.0004478329,0.0003317078,0.0001437707,0.000645505,0.0008256973,0.0007653006,0.0005781217,0.0003505477,0.001205611],"category_scores_gemma":[0.001373843,0.0001796263,0.0005046849,0.0007722861,0.0003263614,0.0003526216,0.0004018031,0.0003774087,0.0000990212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01913763,"about_ca_system_score_gemma":0.01434901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9828936,"about_ca_topic_score_gemma":0.9793167,"domain_scores_codex":[0.9998108,0.00001447756,0.000008019423,0.00005093371,0.00005470694,0.00006121473],"domain_scores_gemma":[0.9993744,0.00006699551,0.00008107702,0.00002512823,0.0003627118,0.00008954096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001295139,0.00002548001,0.9132329,0.0001150728,0.0001787068,0.0001686089,0.0002791224,0.0687152,0.001695216,0.001388499,0.003539878,0.01053188],"study_design_scores_gemma":[0.00002497127,0.00001931169,0.9282911,0.00006358663,0.00009439567,0.00006637411,0.0004913859,0.06493954,0.0007067439,0.0003403354,0.004925264,0.00003697547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900692,0.0005730356,0.0006138445,0.000459681,0.00001345999,0.00001719668,0.005020101,0.00005610489,0.003177376],"genre_scores_gemma":[0.9971303,0.0002309257,0.0004447694,0.00005248091,0.000002843299,0.000005829778,0.001862697,0.000006316623,0.0002638915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01913763,"threshold_uncertainty_score":0.1388538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02796493104046927,"score_gpt":0.291562956068063,"score_spread":0.2635980250275938,"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."}}