{"id":"W2158342719","doi":"10.3390/ijgi4010105","title":"Analyzing the Correlation between Deer Habitat and the Component of the Risk for Lyme Disease in Eastern Ontario, Canada: A GIS-Based Approach","year":2015,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Leeds, Grenville & Lanark District Health Unit; Kingston Health Sciences Centre; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Natural Resources","keywords":"Ixodes scapularis; Lyme disease; Tick; Geography; Habitat; Vector (molecular biology); Ecology; Ixodes; Population; Biology; Cartography; Ixodidae; Environmental health; Medicine","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":[0.0008392791,0.00009976407,0.0001716431,0.0001257206,0.0001134532,0.00004343109,0.0002955215,0.00004938356,0.00001034481],"category_scores_gemma":[0.0005984848,0.00005270163,0.0001193446,0.0000744896,0.0001519752,0.0004447283,0.00005333441,0.0002476969,0.000002096653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003958899,"about_ca_system_score_gemma":0.000833204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1639772,"about_ca_topic_score_gemma":0.1154183,"domain_scores_codex":[0.9988217,0.0002089537,0.0006261437,0.00005186529,0.0001805372,0.0001108206],"domain_scores_gemma":[0.9979237,0.0004044928,0.0009582104,0.0001193108,0.0005616962,0.00003256082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001280149,0.00004141663,0.9663308,0.00000993213,0.0003201059,4.131718e-7,0.001565468,0.02719651,0.00000893304,0.0004546507,0.001085235,0.001706377],"study_design_scores_gemma":[0.005747484,0.00005665713,0.9781945,0.0000686301,0.0002345657,0.0000233438,0.0005142497,0.009531933,0.00008547356,0.0005116072,0.004944655,0.00008690089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685532,0.0003931817,0.02747846,0.001907633,0.0009925936,0.0004140285,0.000150809,0.000004059929,0.0001060698],"genre_scores_gemma":[0.9995599,0.000006366232,0.00004729588,0.0002011956,0.00004362028,0.00001409306,0.0001001859,0.00000356581,0.00002374501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04855893,"threshold_uncertainty_score":0.900723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085257689210978,"score_gpt":0.2231121025225191,"score_spread":0.2122595256304093,"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."}}