{"id":"W3169241884","doi":"10.3390/pathogens10060737","title":"Multi-Epitope Vaccine Design Using an Immunoinformatic Approach for SARS-CoV-2","year":2021,"lang":"en","type":"article","venue":"Pathogens","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Zhejiang Province Public Welfare Technology Application Research Project","keywords":"Epitope; Virology; Peptide vaccine; Antigen; Adjuvant; Immune system; Biology; CD8; Human leukocyte antigen; Immunology; Peptide; Cytotoxic T cell; In vitro; Genetics","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":[0.0003779473,0.0002484142,0.0002671325,0.00004680077,0.0001966224,0.00009147126,0.0002519319,0.0001689965,0.000004478148],"category_scores_gemma":[0.0001106621,0.000231881,0.0001744549,0.0001313144,0.00001543578,0.00002578707,0.0001449797,0.00008300315,0.000004715389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001960081,"about_ca_system_score_gemma":0.0001374638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006222765,"about_ca_topic_score_gemma":0.000003470737,"domain_scores_codex":[0.9987037,0.00006658728,0.0004442598,0.0002924199,0.0001025094,0.0003905624],"domain_scores_gemma":[0.9989157,0.00001155768,0.0001498829,0.0006571927,0.0002076154,0.00005800449],"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":[0.00005810309,0.0002112848,0.00007788954,0.00009741777,0.00008465156,0.000001410383,0.0002252268,0.001963792,0.9949272,0.00002030888,0.0002556731,0.002077012],"study_design_scores_gemma":[0.001368103,0.0002172234,0.0001692116,0.00001102496,0.00007030933,0.0001366097,0.0006742585,0.2943628,0.6993356,0.00001716463,0.003282121,0.00035552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3478746,0.001148436,0.6501486,0.00001368772,0.0001069634,0.0004605571,0.00005402146,0.00002059452,0.0001724432],"genre_scores_gemma":[0.3085467,0.0001621708,0.689392,0.0003690812,0.0001714768,0.00008305647,0.001101448,0.00005680899,0.0001172777],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2955916,"threshold_uncertainty_score":0.9455831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07999498453563221,"score_gpt":0.2972612857029676,"score_spread":0.2172663011673354,"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."}}