{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001875335,0.0001970713,0.0002705214,0.00002673096,0.0009447552,0.00002559241,0.0004033207,0.0000431187,0.0009050454],"category_scores_gemma":[0.00005634521,0.0001587576,0.00006511661,0.00006995448,0.0003603943,0.0002953864,0.0004629753,0.0002231872,0.00003713123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003370296,"about_ca_system_score_gemma":0.000312078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9157743,"about_ca_topic_score_gemma":0.8964804,"domain_scores_codex":[0.9980457,0.0001375871,0.0003630262,0.0004371443,0.0004476056,0.0005689623],"domain_scores_gemma":[0.9984822,0.0000536343,0.0003647867,0.0007588884,0.000001860794,0.0003386828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007909462,0.0002332568,0.9905234,0.00003313364,0.00000450938,0.000006380576,0.005647505,0.00009421803,0.001362327,0.00002070721,0.0005668337,0.001428638],"study_design_scores_gemma":[0.000489865,0.00005319784,0.9918049,0.0001153228,0.000007050562,0.000001178087,0.006260147,0.0002742919,0.0003544392,0.0001381216,0.000353128,0.0001483346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920515,0.000674827,0.000002048621,0.005141968,0.0002628423,0.000687861,0.000593909,0.00001078034,0.0005742725],"genre_scores_gemma":[0.9977972,0.001368648,0.00006184867,0.0005725384,0.00006331774,0.0000480372,0.00001991653,0.00002168139,0.00004682616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01929388,"threshold_uncertainty_score":0.9909612,"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."}}