{"id":"W1975464754","doi":"10.1111/tbed.12215","title":"One-Health Simulation Modelling: A Case Study of Influenza Spread between Human and Swine Populations using<i>NAADSM</i>","year":2014,"lang":"en","type":"article","venue":"Transboundary and Emerging Diseases","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Guelph; University of Prince Edward Island","funders":"Atlantic Veterinary College; Canadian Food Inspection Agency; University of Guelph","keywords":"Outbreak; Vaccination; Herd; Influenza A virus subtype H5N1; Transmissibility (structural dynamics); Population; Transmission (telecommunications); Veterinary medicine; Environmental health; Influenza A virus; Pandemic; Biology; Geography; Virus; Demography; Virology; Medicine; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty)","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":[0.0002597308,0.0001860193,0.0005087404,0.0002179725,0.0008403959,0.00003277163,0.00004048722,0.00004119392,0.000009113125],"category_scores_gemma":[0.00004964046,0.0001817839,0.0000564137,0.0001999081,0.0002166408,0.000229592,0.00003510286,0.0001502325,3.544768e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003184298,"about_ca_system_score_gemma":0.00007805404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003678424,"about_ca_topic_score_gemma":0.0001465795,"domain_scores_codex":[0.9984214,0.0001424284,0.0005005297,0.0003128682,0.000338271,0.0002845043],"domain_scores_gemma":[0.9991184,0.0001298421,0.0001092088,0.000242567,0.0001239471,0.0002760464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004240299,0.001170947,0.8949153,0.001484438,0.0003982729,0.00005444421,0.01119225,0.08105815,0.0002023197,0.0003135349,0.000008503197,0.008777751],"study_design_scores_gemma":[0.01436328,0.005017944,0.7406219,0.00095032,0.002867057,0.00006829743,0.00591742,0.2259384,0.00004851752,0.001950935,0.001435164,0.0008208352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925531,0.001966759,0.004441622,0.0001307713,0.0000189074,0.0007283139,0.00006918346,0.00005983848,0.00003157623],"genre_scores_gemma":[0.9992149,0.00003953546,0.0004142874,0.0001320434,0.0001241314,0.00001235945,0.00003059232,0.00002512793,0.000006952307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1542935,"threshold_uncertainty_score":0.7412932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2874231815798528,"score_gpt":0.4611865790191808,"score_spread":0.1737633974393279,"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."}}