{"id":"W4412599367","doi":"10.1016/j.onehlt.2025.101143","title":"Interconnections between the food system and antimicrobial resistance: A systems-informed umbrella review from a One Health perspective","year":2025,"lang":"en","type":"review","venue":"One Health","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Global Health Research; York University","funders":"ZonMw; Agence Nationale de la Recherche; International Development Research Centre; Canadian Institutes of Health Research; Joint Programming Initiative on Antimicrobial Resistance; Wellcome Trust; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Perspective (graphical); One Health; Resistance (ecology); Antibiotic resistance; Engineering ethics; Biology; Medicine; Computer science; Public health; Pathology; Microbiology; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001002324,0.000527149,0.002507431,0.00006890352,0.0006476002,0.00008177094,0.0004606083,0.0001795063,0.00008863461],"category_scores_gemma":[0.0001229985,0.0003767576,0.0002858709,0.0005465666,0.0003283065,0.000126561,0.000475319,0.0007980259,0.0002638402],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0038831,"about_ca_system_score_gemma":0.0005436921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005294336,"about_ca_topic_score_gemma":0.0007395719,"domain_scores_codex":[0.9958273,0.0009394568,0.001244293,0.0008158305,0.000431157,0.0007419491],"domain_scores_gemma":[0.9974287,0.0005736146,0.0008283987,0.0006122149,0.000009991959,0.0005471504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001948325,0.0004114095,0.00007407986,0.6086558,0.0008586085,0.000006007253,0.0007355819,0.000001164172,0.00000108449,0.002216694,0.0542137,0.3328064],"study_design_scores_gemma":[0.0003022785,0.0001949288,0.0003072172,0.3614862,0.0006676346,0.00002076412,0.0003095724,0.000002302648,9.003124e-7,0.00002542264,0.6362736,0.0004092553],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001132885,0.9829121,0.00009406525,0.008642833,0.0003013932,0.003618409,0.001290566,0.00008076113,0.003048537],"genre_scores_gemma":[0.0009040277,0.9952857,0.0001864125,0.002543426,0.0002068247,0.00005937438,0.0001430108,0.00004018419,0.0006310561],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5820599,"threshold_uncertainty_score":0.9999408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015276065288763,"score_gpt":0.3852806073011565,"score_spread":0.2837530007722803,"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."}}