{"id":"W2126747114","doi":"10.1186/1476-072x-3-11","title":"Investigation of clusters of giardiasis using GIS and a spatial scan statistic","year":2004,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Ministry of Health and Long Term Care; Université de Montréal; University of Guelph","funders":"Health Canada; Ontario Ministry of Health and Long-Term Care","keywords":"Scan statistic; Health geography; Health informatics; Statistic; Geospatial analysis; Geography; Human geography; Public health; Geographic information system; Spatial analysis; Computer science; Environmental health; Data science; Statistics; Cartography; Data mining; Medicine; Remote sensing; Mathematics; Pathology; Economic geography; Health policy; International health","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":[0.002872992,0.0005487783,0.0005138402,0.006918032,0.0005285728,0.001204129,0.0007349548,0.0003851955,0.002161215],"category_scores_gemma":[0.01416761,0.0003142593,0.001007854,0.007898461,0.0007550019,0.0007819016,0.001160859,0.000408746,0.0002068126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037763,"about_ca_system_score_gemma":0.002107574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0264439,"about_ca_topic_score_gemma":0.01785776,"domain_scores_codex":[0.9978497,0.0009705662,0.000189611,0.0003163405,0.0005276333,0.0001461395],"domain_scores_gemma":[0.9853463,0.01094359,0.001788392,0.0004259075,0.001146272,0.0003494806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000444436,0.00008784257,0.9475557,0.0002512517,0.0006090369,0.0006432061,0.002200665,0.02074941,0.001378946,0.002860712,0.00121167,0.02200716],"study_design_scores_gemma":[0.00007170263,0.0004633756,0.7521966,0.00007613469,0.0003787734,0.001276491,0.009250423,0.2246972,0.002048534,0.004967907,0.004489825,0.0000831011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806132,0.0001039232,0.0152998,0.0001293846,0.000006202034,0.0001568758,0.001766006,0.0002822438,0.001642333],"genre_scores_gemma":[0.979858,0.00004531186,0.0186053,0.000006685214,0.000003706082,0.00009211867,0.001154392,0.00001879987,0.0002154564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0264439,"threshold_uncertainty_score":0.05257994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539814844388633,"score_gpt":0.3344204494985925,"score_spread":0.2990223010547062,"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."}}