{"id":"W4220874601","doi":"10.1016/j.vacun.2022.01.001","title":"Computational analysis of proteome of Foot-and-mouth disease Virus for the prediction of immunogenic epitopes","year":2022,"lang":"en","type":"article","venue":"Vacunas","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Science and Engineering Research Board; Indian Council of Medical Research","keywords":"Epitope; Virology; CTL*; Biology; Foot-and-mouth disease virus; Antigenicity; Immunogenicity; Serotype; Virus; Immune system; Immunology; Antigen; CD8","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":[0.0002496775,0.0004188342,0.0005721977,0.0005724099,0.0004632993,0.0006106878,0.0005057864,0.0004765309,0.00132135],"category_scores_gemma":[0.0005216676,0.0001779227,0.0008649894,0.0005066649,0.0001287703,0.0003632502,0.0002267753,0.0003332556,0.0002535458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004410534,"about_ca_system_score_gemma":0.0006578703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004013086,"about_ca_topic_score_gemma":0.00511047,"domain_scores_codex":[0.9999229,0.0000178061,0.000004357285,0.00001932167,0.00001973698,0.00001578951],"domain_scores_gemma":[0.9998804,0.00006063788,0.00001622109,0.000008670767,0.00001955934,0.00001447484],"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":[0.00218284,0.001520289,0.04444918,0.001493332,0.001012832,0.001688305,0.0002424115,0.7483437,0.1124223,0.00716178,0.008579081,0.07090393],"study_design_scores_gemma":[0.00003845962,0.0001012059,0.003788783,0.00001146425,0.00007154079,0.000106205,0.0000528014,0.9896725,0.00418325,0.001042938,0.0009223894,0.000008492086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777905,0.0008144062,0.01549482,0.0002550656,0.00004571876,0.00004841193,0.002635466,0.0007794349,0.002136169],"genre_scores_gemma":[0.972865,0.0003941314,0.01951664,0.00006748948,0.00002061767,0.00005980856,0.00643688,0.00005284035,0.0005866507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004013086,"threshold_uncertainty_score":0.007979453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464403636454529,"score_gpt":0.2445822348571484,"score_spread":0.2099381984926031,"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."}}