{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001505522,0.0001009669,0.000152075,0.0001863883,0.0001014024,0.00002026907,0.00008107148,0.00006417563,0.0006958856],"category_scores_gemma":[0.00005990873,0.00009563762,0.00003589925,0.0002007583,0.0001066315,0.00005283016,0.0001375979,0.0001598964,0.0001050688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003095889,"about_ca_system_score_gemma":0.00007534773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005214673,"about_ca_topic_score_gemma":0.0002544812,"domain_scores_codex":[0.9991693,0.000185646,0.0001509527,0.0002466104,0.00001170391,0.0002357573],"domain_scores_gemma":[0.9996235,0.0001122697,0.00001840912,0.0001879736,0.00002331178,0.00003454632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002131038,0.0004127166,0.6816227,0.0002904801,0.0001004911,0.0001957625,0.00007359729,0.000002391425,0.1663385,0.0006071054,0.01558673,0.1326384],"study_design_scores_gemma":[0.001395334,0.0001511389,0.316311,0.00007436828,0.000006926361,0.00002504368,0.00001714219,0.000009796567,0.0002171822,0.0002822288,0.6813684,0.0001414242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913566,0.005364983,0.00003100794,0.0002277578,0.0004294356,0.0001700495,0.0000537319,0.00003689114,0.002329566],"genre_scores_gemma":[0.990637,0.0009845571,0.00001572866,0.00007348707,0.00001547854,0.00003160796,0.00005302907,0.000005672011,0.008183448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6657816,"threshold_uncertainty_score":0.761946,"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."}}