{"id":"W4388284238","doi":"10.1126/sciadv.abp9185","title":"Phylogenetic identification of influenza virus candidates for seasonal vaccines","year":2023,"lang":"en","type":"article","venue":"Science Advances","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Phylogenetic tree; Hemagglutinin (influenza); Seasonal influenza; Neuraminidase; Identification (biology); Biology; Virology; Strain (injury); Selection (genetic algorithm); Pandemic; Virus; Computational biology; Evolutionary biology; Coronavirus disease 2019 (COVID-19); Genetics; Gene; Artificial intelligence; Computer science; Medicine; Ecology; Disease","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":[0.0007503947,0.00008265797,0.0001695579,0.000291284,0.0002508198,0.00002278641,0.0002226796,0.00001788422,0.00001204281],"category_scores_gemma":[0.001586784,0.00006394272,0.00004434616,0.001436463,0.0005874976,0.0003172946,0.00008107861,0.00004412918,0.00005348933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004161519,"about_ca_system_score_gemma":0.0002373177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001628719,"about_ca_topic_score_gemma":0.00002327201,"domain_scores_codex":[0.9985439,0.000009898851,0.0002524312,0.0002795653,0.0005618111,0.0003524077],"domain_scores_gemma":[0.9989442,0.0001466286,0.0001017938,0.0002178013,0.000510288,0.00007929935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001263199,0.00002437,0.06774488,0.0001690174,0.00001335776,0.000001117723,0.0002385244,0.0002536127,0.9062405,0.0001450899,0.0002249341,0.02481833],"study_design_scores_gemma":[0.0005451359,0.0001753208,0.2802291,0.00004660693,0.000018061,0.000001756012,0.0003144192,0.001026642,0.7048411,0.00118862,0.01152863,0.00008463132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959697,0.002816569,0.00009184035,0.0002465821,0.0001505463,0.0004531975,0.00005980509,0.00005488565,0.0001568608],"genre_scores_gemma":[0.9981976,0.0003589894,0.0006766744,0.0001437135,0.00007663235,0.000127556,0.000005979446,0.000008013857,0.000404821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2124842,"threshold_uncertainty_score":0.2607509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06498966921988135,"score_gpt":0.4281940849633885,"score_spread":0.3632044157435071,"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."}}