{"id":"W2010643394","doi":"10.1637/7625-042706r1.1","title":"Computational Identification of Reassortments in Avian Influenza Viruses","year":2007,"lang":"en","type":"article","venue":"Avian Diseases","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Reassortment; Biology; Hemagglutinin (influenza); Phylogenetic tree; Virology; Neuraminidase; Nucleoprotein; Genetics; Influenza A virus subtype H5N1; Polymerase; RNA polymerase; Gene; Influenza A virus; H5N1 genetic structure; RNA; Virus; Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001536262,0.0008670932,0.001276229,0.001329528,0.0009541579,0.001058893,0.00183725,0.001505384,0.001372289],"category_scores_gemma":[0.006425304,0.0008389426,0.001077216,0.0009345551,0.0007150096,0.001287255,0.0008675159,0.0007377867,0.000139378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009584356,"about_ca_system_score_gemma":0.001517127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01404577,"about_ca_topic_score_gemma":0.01498928,"domain_scores_codex":[0.9995549,0.0002144319,0.0000347612,0.00007882613,0.00006187877,0.00005512264],"domain_scores_gemma":[0.9958429,0.003389915,0.0002077824,0.0001580132,0.0002401521,0.000161308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001479338,0.00008865979,0.005439505,0.0000412337,0.0001177528,0.00008982405,0.00003991693,0.9871907,0.000177594,0.001161811,0.0004363607,0.005068629],"study_design_scores_gemma":[0.00001216047,0.000008550967,0.0001675136,0.000001461664,0.000006890292,0.000005073993,0.000008133356,0.9991887,0.00004109689,0.0005185415,0.00004032596,0.000001509213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339188,0.0003468946,0.06029836,0.000754718,0.00006481761,0.0001139954,0.0008248427,0.0007484531,0.002929162],"genre_scores_gemma":[0.9448988,0.0001054812,0.05271079,0.0001536917,0.00003514669,0.0001330086,0.00127113,0.00007125575,0.0006207059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01404577,"threshold_uncertainty_score":0.02792805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06758554155273142,"score_gpt":0.4097088714881405,"score_spread":0.3421233299354091,"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."}}