{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004771793,0.0001325481,0.000248415,0.00003408392,0.00004068022,0.000001731021,0.0001449156,0.00002910735,0.0005138883],"category_scores_gemma":[0.0001147928,0.00004148851,0.00005047049,0.0001455619,0.0001707198,0.0000381625,0.00007777862,0.00009863026,0.000001211868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005703038,"about_ca_system_score_gemma":0.000008320178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01352627,"about_ca_topic_score_gemma":0.05395938,"domain_scores_codex":[0.998872,0.000156658,0.0003615591,0.000205219,0.0001883004,0.0002162617],"domain_scores_gemma":[0.999208,0.0003793765,0.0002083694,0.00007685786,0.00003668985,0.00009075378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004892544,0.0003752775,0.9463622,0.00006508052,0.00005266519,0.00002272744,0.000500591,0.00002520163,0.03156016,0.0002509925,0.00007690308,0.01581566],"study_design_scores_gemma":[0.0003669432,0.002191783,0.9955378,0.0002536684,0.00003429343,4.712638e-7,0.0004862624,0.0001267474,0.0001386612,0.0001280038,0.0006589787,0.00007640742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976719,0.00006202042,0.0002437246,0.001039268,0.0000463908,0.0003353067,0.00001461553,0.000007906316,0.0005788364],"genre_scores_gemma":[0.9995125,0.00001768328,0.00002457338,0.0001818553,0.00004565003,0.00001668786,0.00004032895,0.000001201177,0.0001595504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04917558,"threshold_uncertainty_score":0.9930428,"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."}}