{"id":"W2962149295","doi":"10.1038/s41598-019-46740-5","title":"Predicting Antigenicity of Influenza A Viruses Using biophysical ideas","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"African Institute for Mathematical Sciences; Division of Mathematical Sciences; National Eye Institute; Department of Science and Technology, Ministry of Science and Technology, India; International Development Research Centre","keywords":"Antigenicity; Antigenic drift; Virology; Biology; Antigenic shift; Antigen; Influenza vaccine; Computational biology; Viral evolution; Influenza A virus subtype H5N1; Influenza A virus; Virus; Evolutionary biology; Genetics; Gene; Genome","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004959378,0.0006126338,0.0004384809,0.0005409046,0.0002351724,0.0007042116,0.0005748643,0.0008490426,0.0004629302],"category_scores_gemma":[0.001785655,0.0002366917,0.0005920829,0.0003750115,0.0002369384,0.0006137032,0.0003071126,0.0004467634,0.0002233736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004555388,"about_ca_system_score_gemma":0.0004302113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006668853,"about_ca_topic_score_gemma":0.004516271,"domain_scores_codex":[0.9998666,0.00004271079,0.000007946797,0.00004752321,0.00001874793,0.00001647963],"domain_scores_gemma":[0.9994915,0.000292138,0.00006821186,0.00005187914,0.00005893395,0.00003741371],"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":[0.00007897607,0.00009284628,0.01786123,0.00003629704,0.00004592806,0.00004753081,0.00001599244,0.9644475,0.004602767,0.0003999071,0.0004181226,0.01195284],"study_design_scores_gemma":[0.000003182921,0.0000183212,0.001671593,0.000001714269,0.000003483166,0.00001070597,0.000004494501,0.9972579,0.000423845,0.0005210977,0.00008079421,0.000002813118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168159,0.00076257,0.07856088,0.0005162022,0.00004027141,0.00005414126,0.001134992,0.000406995,0.001707986],"genre_scores_gemma":[0.9853224,0.0002196557,0.01306746,0.0000500759,0.00001916392,0.00002863046,0.0009310392,0.00001065653,0.0003510135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006668853,"threshold_uncertainty_score":0.01326013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016909424534926,"score_gpt":0.3975406584979079,"score_spread":0.2958497160444153,"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."}}