{"id":"W4214725805","doi":"10.2903/j.efsa.2022.7126","title":"Assessment of listing and categorisation of animal diseases within the framework of the Animal Health Law (Regulation (EU) No 2016/429): antimicrobial‐resistant Enterococcus cecorum in poultry","year":2022,"lang":"en","type":"article","venue":"EFSA Journal","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Technologies (Canada)","funders":"Veterinärmedizinische Universität Wien; European Food Safety Authority","keywords":"Listing (finance); European union; Health claims on food labels; Enterococcus; Antimicrobial; Control (management); Animal health; Medicine; Veterinary medicine; Biology; Business; Computer science; Bacteria; Food science; Artificial intelligence","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":[0.0009900469,0.0000837789,0.0002351999,0.0000139243,0.0003247159,0.00001505882,0.0002079257,0.00003913441,0.0000918831],"category_scores_gemma":[0.00009735984,0.00002959377,0.00008079314,0.000180003,0.0001192996,0.00006167238,0.0001227016,0.0002847477,1.115617e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006771336,"about_ca_system_score_gemma":0.00004974837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006962231,"about_ca_topic_score_gemma":0.0001355358,"domain_scores_codex":[0.9982994,0.0006787997,0.000560184,0.0001253259,0.0001772486,0.0001590953],"domain_scores_gemma":[0.9986327,0.0003533456,0.0008580442,0.00005408877,0.00006042197,0.00004145973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002256996,0.000126985,0.6427898,0.00002127022,0.00001507238,8.818894e-7,0.000255002,0.0001068401,0.3510743,0.004619987,0.0002734306,0.000490711],"study_design_scores_gemma":[0.0001350778,0.0006011638,0.9959626,0.0000702462,0.00001102476,0.00002257656,0.001318842,0.0002015231,0.0004467136,0.0009518263,0.0002279829,0.0000504396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962442,0.0003124335,0.00000691848,0.002969968,0.0001764306,0.0001401652,0.00007702751,0.000003241416,0.00006959977],"genre_scores_gemma":[0.9994056,0.00003740349,0.0001203062,0.0003009654,0.0001145085,0.000002926922,0.00001073517,0.000001007003,0.000006557867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3531727,"threshold_uncertainty_score":0.2497485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594364960941204,"score_gpt":0.2654760739896415,"score_spread":0.2495324243802295,"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."}}