{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000509998,0.000202528,0.0006485626,0.000963003,0.0001456736,0.0001435152,0.00008927338,0.00006986551,0.000002857064],"category_scores_gemma":[0.0003627956,0.0002416043,0.00005590007,0.0009301417,0.00006568133,0.001225073,0.00004554742,0.0002957612,4.545192e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622866,"about_ca_system_score_gemma":0.002393055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059658,"about_ca_topic_score_gemma":0.001260148,"domain_scores_codex":[0.9979516,0.00007375053,0.0006265323,0.0005101019,0.0001821307,0.000655861],"domain_scores_gemma":[0.9987931,0.00008783484,0.0001594116,0.000237278,0.00009722116,0.0006251576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001330639,0.0007847273,0.6119345,0.001395668,0.00002612421,0.00002390612,0.00312888,0.0001685809,2.906438e-7,0.0006031078,0.00347393,0.3771297],"study_design_scores_gemma":[0.03777666,0.003028797,0.6068512,0.006798758,0.00006398945,0.00000672705,0.1015761,0.187011,9.886762e-7,0.01594499,0.03986671,0.001074053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8952543,0.001984522,0.05282255,0.04500358,0.0007658547,0.002777488,0.0003109179,0.0001003,0.0009804422],"genre_scores_gemma":[0.9942708,0.0001728617,0.0003107228,0.004714875,0.00005570815,0.00002235697,0.0002685051,0.00002170822,0.0001624755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3760556,"threshold_uncertainty_score":0.9852337,"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."}}