{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005798005,0.0001450398,0.0005061071,0.0000434239,0.000191222,0.00003762006,0.0001563584,0.0001041236,0.00008429289],"category_scores_gemma":[0.0002446544,0.0001156476,0.00006580674,0.0004821755,0.000125418,0.00007565082,0.00006059435,0.0001689425,1.845975e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003261626,"about_ca_system_score_gemma":0.00007342452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.61017,"about_ca_topic_score_gemma":0.7591627,"domain_scores_codex":[0.9980028,0.0005116526,0.0005525614,0.0004548681,0.00005886095,0.0004192525],"domain_scores_gemma":[0.9985343,0.001098585,0.00006360604,0.00005641782,0.00001463376,0.0002324299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001023222,0.00003455357,0.7680178,0.0001297738,0.00001921603,0.00003251975,0.00002780026,0.000313285,0.002188521,0.00006368529,0.0002690227,0.2288015],"study_design_scores_gemma":[0.0003018904,0.00009052939,0.9885648,0.0002420706,0.00005553653,0.000002434832,0.0002482379,0.001112721,0.000001814245,0.002886527,0.006304725,0.0001886943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835943,0.01395034,0.0003768598,0.001433215,0.00007713135,0.0004399076,0.00005561853,0.00001983886,0.00005277442],"genre_scores_gemma":[0.9936277,0.001127335,0.0004016527,0.004602476,0.00002914207,0.0001055271,0.00004043444,0.000001896764,0.00006385707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2286128,"threshold_uncertainty_score":0.471597,"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."}}