{"id":"W2166580659","doi":"10.1186/1476-072x-2-5","title":"Geographical and temporal distribution of human giardiasis in Ontario, Canada","year":2003,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":65,"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":"Spatial ecology; Geography; Spatial distribution; Spatial analysis; Scale (ratio); Cartography; Cluster analysis; Health geography; Distribution (mathematics); Census; Common spatial pattern; Statistics; Biology; Ecology; Environmental health; Public health; Population; Medicine; Mathematics; Pathology; Remote sensing","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":[0.000314942,0.0001703855,0.0001941965,0.001498232,0.001500906,0.000716333,0.0005536582,0.0001765583,0.002102606],"category_scores_gemma":[0.001415112,0.0001693641,0.0002765431,0.004171635,0.000603192,0.0001976213,0.0005449436,0.0002246821,0.000163785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01999845,"about_ca_system_score_gemma":0.02195376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961252,"about_ca_topic_score_gemma":0.9974682,"domain_scores_codex":[0.9995382,0.00003245145,0.00003137738,0.00007739595,0.0001986784,0.000122035],"domain_scores_gemma":[0.9983684,0.0001150781,0.0003253524,0.00003541824,0.0009037678,0.0002518597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008157242,0.00001294966,0.9842329,0.0001565995,0.00004455538,0.0002487532,0.002299785,0.0004042491,0.0006128758,0.00026553,0.002598306,0.009041932],"study_design_scores_gemma":[0.00000229415,0.000007357996,0.9973012,0.00002268736,0.000009515636,0.0000641261,0.0009588083,0.0001699431,0.00003643457,0.00001994022,0.001403176,0.00000453987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765831,0.002127453,0.0004844693,0.0007666636,0.00001791171,0.00008885971,0.01270028,0.0000397095,0.0071915],"genre_scores_gemma":[0.993808,0.0009994179,0.0005471446,0.00005084997,0.000006209143,0.00003453057,0.002276564,0.000007632817,0.002269682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01999845,"threshold_uncertainty_score":0.1450996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256823627314598,"score_gpt":0.2795279496976205,"score_spread":0.2669597134244745,"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."}}