{"id":"W4285799750","doi":"10.2196/36100","title":"Development of a Multiepitope Vaccine Against SARS-CoV-2: Immunoinformatics Study","year":2022,"lang":"en","type":"article","venue":"JMIR Bioinformatics and Biotechnology","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epitope; Virology; Biology; Major histocompatibility complex; MHC class I; Antibody; Outbreak; Pandemic; Virus; Computational biology; Antigen; Coronavirus disease 2019 (COVID-19); Immunology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004768772,0.0002983777,0.000395168,0.0002958551,0.000408476,0.00003436808,0.0005440377,0.0002031283,0.000006861901],"category_scores_gemma":[0.00003136506,0.0002655703,0.0000841486,0.0003298236,0.00006872964,0.00002232823,0.001561799,0.0003028449,0.000005955153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003114645,"about_ca_system_score_gemma":0.0001171166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005956768,"about_ca_topic_score_gemma":0.00001320806,"domain_scores_codex":[0.9979883,0.00002646536,0.001169765,0.0001913612,0.0002531732,0.0003709511],"domain_scores_gemma":[0.9987155,0.000008740369,0.0005290133,0.0006365749,0.00007146435,0.00003866907],"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":[0.0005203887,0.001971536,0.002375002,0.000617428,0.0008230583,0.000004962133,0.01639053,0.0001517194,0.7254357,0.0007801875,0.003319871,0.2476096],"study_design_scores_gemma":[0.007722296,0.004558595,0.003082386,0.00004247045,0.00007861775,0.0002087905,0.07150322,0.02810799,0.5842531,0.00004888374,0.2989418,0.001451806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969937,0.0002399243,0.000954195,0.0001177354,0.000112627,0.000978948,0.00003523274,0.00004597804,0.0005216585],"genre_scores_gemma":[0.9724336,0.0001426476,0.02669079,0.0002426515,0.00001800309,0.000204011,0.0001989975,0.00002480236,0.00004452375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2956219,"threshold_uncertainty_score":0.9999797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514851900584124,"score_gpt":0.2529993424667979,"score_spread":0.2378508234609567,"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."}}