{"id":"W1580686281","doi":"10.1002/9781118543504.ch45","title":"Geospatial technologies and spatial data analysis: PART 2: Use of geographic information systems and spatial analysis in infectious disease surveillance in North America and East Africa","year":2013,"lang":"en","type":"other","venue":"","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control","funders":"Centers for Disease Control and Prevention; University of British Columbia","keywords":"Zoonosis; Geospatial analysis; Geography; Emerging infectious disease; Cartography; Infectious disease (medical specialty); Spatial epidemiology; Geographic information system; Spatial analysis; Disease; Disease surveillance; Environmental health; Vector (molecular biology); Biology; Epidemiology; Medicine; Virology; Remote sensing; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002066821,0.0004997894,0.000342383,0.006472302,0.000543749,0.003983099,0.000586019,0.0004980279,0.004259541],"category_scores_gemma":[0.005634242,0.0003568,0.0004014772,0.01041499,0.001298597,0.002529511,0.001308156,0.0005649563,0.0009449197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001414062,"about_ca_system_score_gemma":0.001901746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01651494,"about_ca_topic_score_gemma":0.02079593,"domain_scores_codex":[0.9986485,0.0006202958,0.0001226315,0.0000978165,0.0004461365,0.00006466589],"domain_scores_gemma":[0.9968832,0.002003645,0.0003403812,0.0002052866,0.0004783421,0.00008910013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001523278,0.0000455271,0.01942769,0.001233575,0.00006774906,0.0003873333,0.002229942,0.004065572,0.00111698,0.03930408,0.0462676,0.8858387],"study_design_scores_gemma":[0.00001234073,0.00006927228,0.07671039,0.004468984,0.00007304495,0.001839467,0.009108015,0.01171212,0.003044859,0.04793173,0.8449333,0.00009645907],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05633287,0.3200752,0.2179951,0.04272121,0.002114913,0.001560483,0.008889699,0.002527427,0.3477832],"genre_scores_gemma":[0.2385175,0.4405234,0.2779106,0.002294175,0.001394354,0.0007108334,0.003297312,0.0003758812,0.03497581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01651494,"threshold_uncertainty_score":0.03283757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665112966827949,"score_gpt":0.2291670201253754,"score_spread":0.2125158904570959,"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."}}