{"id":"W3171994703","doi":"10.3389/fimmu.2021.669812","title":"Development of a Novel Multi-Epitope Vaccine Against Crimean-Congo Hemorrhagic Fever Virus: An Integrated Reverse Vaccinology, Vaccine Informatics and Biophysics Approach","year":2021,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Guangxi University","keywords":"Epitope; Virology; Biology; Adjuvant; Reverse vaccinology; Antigen; Ebola virus; DNA vaccination; Immune system; Virus; Immunology; Immunization","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":[0.0001543665,0.0003581547,0.0004123979,0.0001961671,0.00020785,0.0004564397,0.0003845889,0.0003814663,0.0006302299],"category_scores_gemma":[0.0001516015,0.000206466,0.0005332548,0.0001430525,0.0000977058,0.00039119,0.0002408683,0.0004288482,0.0001462896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003224439,"about_ca_system_score_gemma":0.0005584342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003792,"about_ca_topic_score_gemma":0.001424162,"domain_scores_codex":[0.999949,0.00001054065,0.00000261936,0.00001010611,0.00001581741,0.00001189936],"domain_scores_gemma":[0.9999765,0.000006090188,0.000005378694,0.000002465088,0.00000590912,0.000003630961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000374952,0.0005554637,0.006669418,0.001042817,0.0002371502,0.0009171806,0.0001700873,0.4200832,0.4655581,0.01647826,0.001146702,0.08676674],"study_design_scores_gemma":[0.00005603717,0.0006110008,0.002029564,0.00004916423,0.000141911,0.0004039389,0.000107775,0.877867,0.1068886,0.002166873,0.009643835,0.00003438399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7604873,0.003848003,0.2247707,0.0007270893,0.0001544111,0.0002260694,0.0004381054,0.0005014823,0.008846739],"genre_scores_gemma":[0.8470292,0.002137867,0.1479373,0.0001318322,0.0000187857,0.000219623,0.0006094777,0.00005163046,0.001864249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001003792,"threshold_uncertainty_score":0.002339542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697378962945471,"score_gpt":0.2314436406631079,"score_spread":0.2144698510336532,"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."}}