{"id":"W4313414209","doi":"10.3390/vaccines11010061","title":"An Immunoinformatics Approach to Design a Potent Multi-Epitope Vaccine against Asia-1 Genotype of Crimean–Congo Haemorrhagic Fever Virus Using the Structural Glycoproteins as a Target","year":2022,"lang":"en","type":"article","venue":"Vaccines","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Umm Al-Qura University","keywords":"Epitope; Virology; Biology; Human leukocyte antigen; CTL*; Antigenicity; Peptide vaccine; Genotype; Antigen; Immunology; Genetics; Gene","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":[0.0002258416,0.0005611387,0.0003697535,0.0003127017,0.0001830076,0.0004259773,0.0003299082,0.0003801488,0.0006259072],"category_scores_gemma":[0.0001499989,0.0002187081,0.0004978573,0.0002557566,0.0002344882,0.0003147046,0.0003201017,0.0005912292,0.0002455939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003333878,"about_ca_system_score_gemma":0.0004365649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003282264,"about_ca_topic_score_gemma":0.0004409458,"domain_scores_codex":[0.9998872,0.00002538971,0.000007647629,0.00002871058,0.00003322127,0.00001781614],"domain_scores_gemma":[0.9999647,0.000009181718,0.00001138332,0.000003169131,0.000006981719,0.000004631508],"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":[0.0001501174,0.0002115019,0.0006436564,0.0003570568,0.00005385485,0.000262223,0.00004817106,0.05491177,0.9112417,0.004011236,0.000333345,0.02777544],"study_design_scores_gemma":[0.00006640959,0.001226293,0.001015607,0.00003147641,0.00009398197,0.000660309,0.00007251582,0.2077071,0.7735482,0.002180732,0.01336048,0.00003692241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6325791,0.003907407,0.3526157,0.0006574645,0.0001170975,0.0003638827,0.0004714373,0.0004664074,0.008821431],"genre_scores_gemma":[0.7338667,0.00247959,0.2595578,0.0003408157,0.00002694024,0.000287099,0.0007943337,0.00003512179,0.002611688],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0006259072,"threshold_uncertainty_score":0.002418876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04710739657772017,"score_gpt":0.3069601042884245,"score_spread":0.2598527077107043,"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."}}