{"id":"W4412458139","doi":"10.1155/tbed/4099285","title":"Applying Field and Genomic Epidemiology Methods to Investigate Transmission Networks of Highly Pathogenic Avian Influenza A (H5N1) in Domestic Poultry in British Columbia, Canada (2022–2023)","year":2025,"lang":"en","type":"article","venue":"Transboundary and Emerging Diseases","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Guelph; University of Saskatchewan; Canadian Science Centre for Human and Animal Health; Canadian Food Inspection Agency","funders":"Canadian Food Inspection Agency","keywords":"Influenza A virus subtype H5N1; Highly pathogenic; Transmission (telecommunications); Epidemiology; Virology; Biology; Veterinary medicine; Environmental health; Medicine; Virus; Computer science; Telecommunications; Internal medicine","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":[0.0007802999,0.0003684656,0.0002764582,0.002044299,0.0008952321,0.0008849305,0.0004644729,0.0003372048,0.0004721225],"category_scores_gemma":[0.001767364,0.0002366136,0.0001616924,0.002216013,0.0005373483,0.0002973687,0.000500385,0.0002766322,0.0001093377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004698245,"about_ca_system_score_gemma":0.003116103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7413327,"about_ca_topic_score_gemma":0.8109666,"domain_scores_codex":[0.9992827,0.0001854625,0.00002961873,0.0002119059,0.0001281747,0.000162151],"domain_scores_gemma":[0.9986352,0.0002557483,0.000316833,0.00008102478,0.0005036538,0.0002075618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008536288,0.0001522449,0.976833,0.00007124198,0.00008991602,0.0001230438,0.001326018,0.0008987217,0.004177605,0.0001254905,0.0002824975,0.0158348],"study_design_scores_gemma":[0.000005021871,0.00006503054,0.9960311,0.000009209543,0.00001506462,0.00007347606,0.001585954,0.001554016,0.000187402,0.00004608045,0.0004234997,0.00000415273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997319,0.0001596181,0.001090341,0.00002268353,0.000002820049,0.00008778456,0.0005616808,0.00001086662,0.0007452187],"genre_scores_gemma":[0.9945006,0.0002018213,0.003704231,0.00005649453,0.000004552944,0.00005794517,0.001045749,0.000002941974,0.0004257594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2586673,"threshold_uncertainty_score":0.5203812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630916892397958,"score_gpt":0.2814938757888218,"score_spread":0.2651847068648422,"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."}}