{"id":"W4414019250","doi":"10.1002/vetr.5945","title":"Disease surveillance in England and Wales, August 2025","year":2025,"lang":"en","type":"article","venue":"Veterinary Record","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Larus Technologies (Canada)","funders":"","keywords":"Disease; Disease surveillance; Medicine; Geography; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007736791,0.0003562665,0.0002866078,0.001827986,0.0005785446,0.00150024,0.0004037435,0.0014729,0.0143535],"category_scores_gemma":[0.004589468,0.0003471482,0.0002559957,0.002781302,0.0002104674,0.0007473148,0.001035425,0.0006329492,0.005798638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002223191,"about_ca_system_score_gemma":0.004639531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1725142,"about_ca_topic_score_gemma":0.366691,"domain_scores_codex":[0.9992341,0.00006724372,0.0001970392,0.00006495339,0.0002936732,0.0001431268],"domain_scores_gemma":[0.9975694,0.0002161886,0.0005919905,0.00006847535,0.0009648632,0.0005890072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003770552,0.00004711215,0.06901496,0.001235171,0.00003082764,0.00108857,0.0004291067,0.000257971,0.000735554,0.0003599502,0.8493219,0.07710182],"study_design_scores_gemma":[0.0000510777,0.0000799959,0.5111645,0.001051479,0.00001542333,0.0007417675,0.0009402178,0.00019918,0.0002150825,0.00008638935,0.4854347,0.00002016156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.207382,0.09652303,0.001653343,0.08733169,0.03197089,0.0006764454,0.3831683,0.0009010353,0.1903933],"genre_scores_gemma":[0.270552,0.05030793,0.003557127,0.01897235,0.007278482,0.0007636768,0.1345582,0.0001467145,0.5138635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1725142,"threshold_uncertainty_score":0.3430201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291437493494605,"score_gpt":0.2967327776475215,"score_spread":0.2738184027125754,"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."}}