{"id":"W4411389181","doi":"10.3389/fdgth.2025.1507391","title":"Leveraging AI in digital one health: an inter-university collaboration for emerging and re-emerging infectious disease control in Cameroon","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Foreign, Commonwealth and Development Office; International Development Research Centre; York University","keywords":"Preparedness; Public health; Pandemic; Government (linguistics); Disease surveillance; Infectious disease (medical specialty); Public relations; Political science; Medicine; Environmental health; Coronavirus disease 2019 (COVID-19); Disease; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01165723,0.0006758064,0.0002786527,0.001346493,0.006964043,0.004989615,0.001008533,0.001855508,0.009331465],"category_scores_gemma":[0.01081977,0.0003021634,0.0004124986,0.001234834,0.003265291,0.003997494,0.01024635,0.00280272,0.0009117177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004958042,"about_ca_system_score_gemma":0.02699674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009633224,"about_ca_topic_score_gemma":0.01371005,"domain_scores_codex":[0.9923143,0.005400385,0.0001485996,0.000439858,0.0003225942,0.001374358],"domain_scores_gemma":[0.9854337,0.004211844,0.0006320765,0.0004607501,0.001215903,0.008045575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001673503,0.002646275,0.1039426,0.002844983,0.000190923,0.01227445,0.1597127,0.005867715,0.01758819,0.05592184,0.08579048,0.5515464],"study_design_scores_gemma":[0.0001867704,0.001657805,0.05055469,0.002973896,0.0001071983,0.002509885,0.2975715,0.00752671,0.006376228,0.019518,0.6107424,0.0002747985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6889595,0.01920291,0.03230352,0.1840924,0.003019898,0.002036127,0.0007183477,0.0005352573,0.06913203],"genre_scores_gemma":[0.9550461,0.005160844,0.02005268,0.006318509,0.0002227135,0.0005362894,0.0002498797,0.0000620933,0.01235093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01165723,"threshold_uncertainty_score":0.06165004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109668811845991,"score_gpt":0.2997162790928928,"score_spread":0.2887493979082937,"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."}}