{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003298535,0.0006498756,0.0005964988,0.0005031593,0.0002360111,0.0006857128,0.0004639542,0.0005894975,0.001353612],"category_scores_gemma":[0.0002654868,0.0004559244,0.0007408783,0.0002892417,0.0001955095,0.0003750224,0.0004190856,0.0005188769,0.0003666808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003934278,"about_ca_system_score_gemma":0.0006681071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005382441,"about_ca_topic_score_gemma":0.0007185503,"domain_scores_codex":[0.9998825,0.00002805214,0.000005166642,0.00002689751,0.00003688978,0.00002058998],"domain_scores_gemma":[0.9999443,0.00002021491,0.0000121667,0.000003070873,0.00001300041,0.000007268912],"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":[0.000285675,0.0002886896,0.0009688411,0.0003842208,0.00009690231,0.0004561862,0.00005910698,0.5994489,0.3440744,0.007393283,0.0008199067,0.04572397],"study_design_scores_gemma":[0.00004985214,0.0004048801,0.0003514558,0.00001755123,0.0000512644,0.0001502428,0.00003716026,0.9445059,0.04812877,0.002387956,0.003892751,0.0000223127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2869087,0.001932554,0.7004197,0.0004744967,0.0001161949,0.0002989444,0.0003720254,0.0009463815,0.008530876],"genre_scores_gemma":[0.5776274,0.001664048,0.4161802,0.0002917642,0.00002941329,0.0003704389,0.0007517184,0.00009612794,0.002988902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001353612,"threshold_uncertainty_score":0.004528344,"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."}}