{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09611377,0.0007899823,0.0009643275,0.008283807,0.001209621,0.00587522,0.002426489,0.003733068,0.003110769],"category_scores_gemma":[0.135087,0.0003686534,0.0021869,0.00409713,0.002686931,0.003958046,0.005809871,0.001924418,0.0007236769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005348925,"about_ca_system_score_gemma":0.00942685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008341863,"about_ca_topic_score_gemma":0.007821823,"domain_scores_codex":[0.895496,0.03814409,0.01327971,0.004690115,0.0439602,0.004429852],"domain_scores_gemma":[0.8541397,0.07216799,0.02419015,0.005401575,0.04173085,0.002369684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001958348,0.001278059,0.6063804,0.005875965,0.001365342,0.001952303,0.02705735,0.02211493,0.008294669,0.1002282,0.02355354,0.1999409],"study_design_scores_gemma":[0.0002179593,0.005226914,0.7796611,0.006702427,0.001163392,0.001151208,0.02921638,0.03180886,0.01305046,0.04621456,0.08509955,0.0004870997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7834814,0.003606679,0.06370753,0.0104953,0.0005600487,0.004712201,0.009731,0.0002184878,0.1234874],"genre_scores_gemma":[0.9506641,0.0007005883,0.03700165,0.001186568,0.0001599667,0.001674623,0.004863096,0.00002558965,0.003723736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09611377,"threshold_uncertainty_score":0.5083042,"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."}}