{"id":"W4394593415","doi":"10.1007/s42452-024-05782-9","title":"In silico design and evaluation of multi-epitope dengue virus vaccines: a promising approach to combat global dengue burden","year":2024,"lang":"en","type":"article","venue":"Discover Applied Sciences","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Dengue fever; Dengue vaccine; Dengue virus; Virology; In silico; Antibody-dependent enhancement; Epitope; Biology; Immunology; Antibody; 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":[0.00131836,0.000152958,0.0001659537,0.00007840448,0.0000774301,0.0001541122,0.0002495646,0.00007569679,0.000003069432],"category_scores_gemma":[0.00005005892,0.0001196066,0.0000350958,0.0004147908,0.00007207226,0.00003091578,0.0001536671,0.00005471498,0.000002945847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002991357,"about_ca_system_score_gemma":0.0002007946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007899068,"about_ca_topic_score_gemma":0.00002953114,"domain_scores_codex":[0.998785,0.00005400435,0.0002803687,0.0003757546,0.0002903318,0.0002146061],"domain_scores_gemma":[0.9996662,0.00001754127,0.00005151381,0.0001739055,0.00004226075,0.00004861341],"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":[0.0001043301,0.0002658678,0.001839193,0.0003012867,0.00009212154,8.321492e-7,0.004283903,0.09475847,0.8568778,0.004118876,0.0004865211,0.03687082],"study_design_scores_gemma":[0.002521836,0.0003364362,0.01750336,0.0001586075,0.0001427278,0.000038438,0.008012478,0.7245881,0.243222,0.001832142,0.0007966227,0.0008473135],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754976,0.002368172,0.01999087,0.00005536806,0.00007957058,0.0008224938,0.00001145346,0.000007579792,0.001166867],"genre_scores_gemma":[0.9913777,0.00005839998,0.008323834,0.00004959569,0.00005409455,0.00009684328,0.00001628074,0.000007685963,0.00001555256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6298296,"threshold_uncertainty_score":0.4877414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04403742324903926,"score_gpt":0.3141788505529903,"score_spread":0.270141427303951,"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."}}