{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004876337,0.0005331648,0.0006015199,0.0003096514,0.0002306397,0.0005342316,0.0004915705,0.0005527717,0.001232183],"category_scores_gemma":[0.0004699382,0.0003259134,0.0006198921,0.0002097591,0.0001722219,0.0003854429,0.0003570293,0.0004503602,0.0002593177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003413224,"about_ca_system_score_gemma":0.0007205393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009394953,"about_ca_topic_score_gemma":0.001178177,"domain_scores_codex":[0.9998572,0.00005120913,0.000006692756,0.00002086246,0.00003917763,0.00002483328],"domain_scores_gemma":[0.9998784,0.00005662403,0.00002003998,0.000008990386,0.00002310141,0.00001287318],"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":[0.0001570988,0.0002224159,0.003323754,0.0002791206,0.00007749628,0.0001760989,0.00002628032,0.9391121,0.04272991,0.003006469,0.0003393776,0.01054989],"study_design_scores_gemma":[0.00003652384,0.0004642149,0.0004537577,0.00001986142,0.00003982812,0.00003716041,0.00003223482,0.987633,0.008795312,0.0009989494,0.001480371,0.000008915165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7851977,0.003020206,0.1982198,0.0005974642,0.0001238911,0.0002320788,0.0005544972,0.0003705862,0.01168358],"genre_scores_gemma":[0.9473956,0.001484419,0.04928404,0.0001003103,0.00001605947,0.0001921177,0.0003871785,0.00003704877,0.001103326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001232183,"threshold_uncertainty_score":0.004122019,"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."}}