{"id":"W2105401590","doi":"10.1016/j.prevetmed.2007.04.018","title":"Spatial clustering of swine influenza in Ontario on the basis of herd-level disease status with different misclassification errors","year":2007,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Food Inspection Agency; University of Guelph","funders":"University of Guelph; Pfizer","keywords":"Herd; Scan statistic; Veterinary medicine; Cluster (spacecraft); Outbreak; Cluster analysis; Multivariate statistics; Statistics; Biology; Geography; Medicine; Mathematics; Virology","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":[0.001670458,0.0002149363,0.0003993181,0.001157398,0.001288101,0.0008301131,0.001101701,0.0004045027,0.001080116],"category_scores_gemma":[0.009235469,0.0004089844,0.0007015042,0.001807797,0.0009964288,0.0003436761,0.0008820792,0.0002336806,0.0001298361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01108429,"about_ca_system_score_gemma":0.01133848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9572776,"about_ca_topic_score_gemma":0.9713246,"domain_scores_codex":[0.998373,0.0003862133,0.0001257181,0.000290636,0.0004399284,0.0003845535],"domain_scores_gemma":[0.9937826,0.001354042,0.001780733,0.0005867011,0.001886318,0.0006095963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001830414,0.000009174631,0.9951303,0.00001370299,0.00009136165,0.00005689613,0.0007026589,0.001131514,0.0004361232,0.0001104594,0.0003619321,0.00177297],"study_design_scores_gemma":[0.000004774193,0.000009549974,0.9974126,0.000004449048,0.00001571467,0.00002581451,0.0004368259,0.001888268,0.00004001124,0.0000445426,0.0001111847,0.000006279198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986803,0.00005465415,0.000160095,0.00008260657,0.000003352004,0.00001290328,0.0006018904,0.000005983058,0.0003982392],"genre_scores_gemma":[0.9991277,0.00002492025,0.0001470035,0.000006370418,0.000001752605,0.000005359148,0.0004478193,0.000001995635,0.0002371655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0427224,"threshold_uncertainty_score":0.08594793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1372350865142215,"score_gpt":0.3010646157619908,"score_spread":0.1638295292477693,"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."}}