{"id":"W4414282389","doi":"10.1016/j.onehlt.2025.101203","title":"A systematic review of mathematical and machine learning models of Avian Influenza","year":2025,"lang":"en","type":"review","venue":"One Health","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Response Biomedical (Canada); York University; Artificial Intelligence in Medicine (Canada); University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Foreign, Commonwealth and Development Office; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; International Development Research Centre; World Health Organization","keywords":"Generalizability theory; Support vector machine; Consistency (knowledge bases); Computational model; Model selection; Transmission (telecommunications); Statistical model; Predictive modelling","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":[0.009082101,0.002159168,0.005948234,0.009951047,0.0005513715,0.00266211,0.002844239,0.001921358,0.007221364],"category_scores_gemma":[0.04185901,0.00103795,0.009244723,0.008586253,0.0006671915,0.002851879,0.001507464,0.001390945,0.0007441294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003542807,"about_ca_system_score_gemma":0.01611096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126409,"about_ca_topic_score_gemma":0.02900598,"domain_scores_codex":[0.9932833,0.002453116,0.00252077,0.0004690946,0.00112972,0.0001439271],"domain_scores_gemma":[0.9711716,0.02308885,0.003367524,0.0004230683,0.001788902,0.0001601495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0000925733,0.00001924454,0.0004492528,0.936373,0.004481535,0.0001215213,0.0001393298,0.0005612791,0.000135973,0.0009090904,0.003025199,0.05369209],"study_design_scores_gemma":[0.00008742991,0.0001577114,0.001875272,0.9210966,0.02886536,0.0003194842,0.0001549842,0.0003904412,0.0001426916,0.001114417,0.04574836,0.00004717322],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00048271,0.9972717,0.0006254285,0.0003754239,0.0001131668,0.0001830158,0.0005378748,0.0000142349,0.0003964809],"genre_scores_gemma":[0.005800479,0.9916862,0.001075174,0.0004624446,0.00008177201,0.0003886479,0.0003649804,0.000007955357,0.0001322602],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01126409,"threshold_uncertainty_score":0.04803127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2705266383341885,"score_gpt":0.4804873954233899,"score_spread":0.2099607570892014,"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."}}