{"id":"W4390049454","doi":"10.2903/sp.efsa.2023.en-8550","title":"Annual report of the Scientific Network on Animal Health 2023","year":2023,"lang":"en","type":"article","venue":"EFSA Supporting Publications","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federaal Agentschap Voor de Veiligheid Van de Voedselketen; Bundesamt für Lebensmittelsicherheit und Veterinärwesen; Ministry of Rural Affairs; Hellenic Ministry of Rural Development and Food; European Food Safety Authority","keywords":"Animal health; Business; Animal welfare; Welfare; Risk assessment; Environmental health; Public relations; Environmental resource management; Environmental planning; Political science; Medicine; Veterinary medicine; Computer security; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001955699,0.00007697336,0.0001363767,0.00002619487,0.0007137476,0.00003760476,0.0003636945,0.00003661274,0.0003959344],"category_scores_gemma":[0.0008097232,0.00002859333,0.0001166882,0.001914114,0.00012838,0.00008598293,0.000189851,0.00008730613,0.0001539446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001557616,"about_ca_system_score_gemma":0.00004160055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001081323,"about_ca_topic_score_gemma":0.0002236077,"domain_scores_codex":[0.998498,0.0001200784,0.0004595401,0.0003101825,0.0002113112,0.0004009085],"domain_scores_gemma":[0.9990036,0.0001972683,0.000445251,0.0001610786,0.00009969542,0.00009312487],"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":[0.000004806062,0.00004558709,0.09705119,0.000005651547,0.000009488593,0.000001423785,0.00004623051,0.00006145081,0.0004478195,0.01478548,0.8832113,0.004329592],"study_design_scores_gemma":[0.00001597247,0.00005446726,0.7339882,0.000007147473,0.000003438741,0.000001683489,0.0001994865,0.0001669343,0.000005188681,0.0006908101,0.264822,0.00004463817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669074,0.00002438989,0.000003742975,0.1269364,0.0003374328,0.0003119315,0.0002100477,0.0002026171,0.005066036],"genre_scores_gemma":[0.9836855,0.000004077606,0.00003671522,0.0006830624,0.0002465273,0.00003565866,0.0005079393,0.000001027575,0.01479952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.636937,"threshold_uncertainty_score":0.5489641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06104427760613918,"score_gpt":0.3209971427964408,"score_spread":0.2599528651903016,"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."}}