{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003155493,0.0001180262,0.0002330742,0.0003462317,0.00005676235,0.00001168834,0.00009470583,0.00004354342,0.00005432338],"category_scores_gemma":[0.0006939057,0.0001111194,0.00007857713,0.0003739648,0.0001733696,0.0001422416,0.00005345208,0.0001023552,0.00008670655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489946,"about_ca_system_score_gemma":0.000132273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001344664,"about_ca_topic_score_gemma":0.00004435394,"domain_scores_codex":[0.9983378,0.00003789844,0.0005415057,0.0002184667,0.0005488892,0.0003154379],"domain_scores_gemma":[0.999076,0.0001722763,0.0001326429,0.0002316339,0.0002320598,0.0001553552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006207911,0.0005071386,0.9920884,0.0001324381,0.00008140352,0.00005678656,0.0002321608,0.00008253547,0.001788454,0.0004824687,0.0001723006,0.003755161],"study_design_scores_gemma":[0.001314606,0.00008354976,0.9947139,0.0001078344,0.00004341556,0.000003014271,0.0002122964,0.00005486141,0.001913792,0.001092836,0.0003709915,0.0000889136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997161,0.001217181,0.000128989,0.00007439293,0.00004508643,0.0004266189,0.0001106247,0.000040742,0.0007953655],"genre_scores_gemma":[0.9988161,0.0000310034,0.0002056232,0.0007208458,0.00004850005,0.00002371072,0.00004729785,0.00001514968,0.00009180258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003666247,"threshold_uncertainty_score":0.4531318,"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."}}