{"id":"W4321456855","doi":"10.3389/fvets.2023.1149010","title":"Editorial: Antimicrobial use, antimicrobial resistance, and the microbiome in animals, volume II","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Veterinary Science","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Antimicrobial; Microbiome; Antibiotic resistance; Veterinary medicine; Microbiology; Medicine; Biology; Antibiotics; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003982837,0.004950977,0.004353853,0.00439649,0.002479471,0.007825765,0.004106689,0.01102763,0.03165685],"category_scores_gemma":[0.01672607,0.001294805,0.003168425,0.001949596,0.002417699,0.005710281,0.001701175,0.01237192,0.02027403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002625932,"about_ca_system_score_gemma":0.002335931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578508,"about_ca_topic_score_gemma":0.002475266,"domain_scores_codex":[0.9962842,0.0005970109,0.0004705359,0.0007489491,0.00158608,0.0003131613],"domain_scores_gemma":[0.9840479,0.007175891,0.001174492,0.0003709824,0.005043266,0.00218738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006775876,0.00002514948,0.00007096319,0.0004662737,0.00002002788,0.00008024634,0.00001791782,0.00003560825,0.00007186085,0.0001567063,0.9934235,0.005564029],"study_design_scores_gemma":[0.00008748361,0.0001151756,0.0008639211,0.001534725,0.00007767259,0.0006010382,0.0001039436,0.000246269,0.0002059449,0.001018469,0.9950987,0.00004674036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00006539848,0.00686736,0.00009381435,0.01655428,0.975223,0.00002080448,0.0001262184,0.00007484413,0.0009742626],"genre_scores_gemma":[0.0002837721,0.004854412,0.00004588654,0.008558248,0.982454,0.00001385997,0.00005543674,0.0000279308,0.003706425],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03165685,"threshold_uncertainty_score":0.1059027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00875583338598617,"score_gpt":0.257055474299562,"score_spread":0.2482996409135759,"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."}}