{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003248877,0.0003777134,0.0002737227,0.002423089,0.001009627,0.001009821,0.0005206808,0.0002163251,0.001167183],"category_scores_gemma":[0.001706946,0.0002146729,0.0004665073,0.00397461,0.0003772626,0.0002134677,0.0005025972,0.000189003,0.00008649272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01121048,"about_ca_system_score_gemma":0.01196244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9835933,"about_ca_topic_score_gemma":0.9914963,"domain_scores_codex":[0.9997497,0.0000338132,0.00001950586,0.00004173916,0.00009696302,0.0000581911],"domain_scores_gemma":[0.9991769,0.0001789978,0.0001279199,0.00002715763,0.0003810972,0.0001078615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006200429,0.00003930535,0.9717579,0.00007190592,0.0001192665,0.0001940305,0.0006034918,0.01242581,0.0007578078,0.0004401833,0.0008751928,0.01265293],"study_design_scores_gemma":[0.000006642169,0.00002777052,0.9463906,0.00002682486,0.00006212568,0.00005476227,0.002959067,0.04860365,0.0001418158,0.0001629257,0.001544959,0.00001876483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929308,0.0002250543,0.001606965,0.0001371411,0.000004000537,0.00007046749,0.002987762,0.00003186067,0.002006002],"genre_scores_gemma":[0.993618,0.0001523922,0.0036452,0.00001211954,0.000001504852,0.00002568544,0.001795909,0.00000439008,0.0007447797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01640671,"threshold_uncertainty_score":0.08133817,"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."}}