{"id":"W4389726288","doi":"10.1371/journal.pone.0294663","title":"Computational design of experimentally validated multi-epitopes vaccine against hepatitis E virus: An immunological approach","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Epitope; Adjuvant; Virology; Peptide vaccine; Immune system; Hepatitis E virus; Anthrax vaccines; Vaccine efficacy; Vaccination; Biology; Immunology; Medicine; Antigen; Immunization; DNA vaccination","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":[0.0001918756,0.0001614697,0.0002424282,0.00006642041,0.0000788278,0.00002627103,0.000250811,0.0001260635,0.00001936929],"category_scores_gemma":[0.00005069785,0.0001450869,0.00005704644,0.0001653354,0.00003310453,0.00001421968,0.0001595065,0.00007449123,0.00001885717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001060756,"about_ca_system_score_gemma":0.00003381664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002829548,"about_ca_topic_score_gemma":0.000001587424,"domain_scores_codex":[0.9989508,0.00008046334,0.0003536183,0.0002277389,0.0001790526,0.0002083443],"domain_scores_gemma":[0.9994228,0.00001536376,0.0001215846,0.0002784885,0.0001119604,0.00004976408],"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":[0.0001098462,0.001791028,0.001510358,0.00004932805,0.0003317531,9.943744e-7,0.0002275603,0.007415398,0.9879127,0.00002905149,0.0001384367,0.000483535],"study_design_scores_gemma":[0.001344604,0.0007568718,0.00963753,0.00003160823,0.00003907738,0.000002796661,0.000339377,0.1822314,0.8052788,0.00002978005,0.0000389907,0.0002691414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838457,0.0003492801,0.01518032,0.00002352896,0.00001804435,0.000355376,0.00004896571,0.00005160167,0.0001272332],"genre_scores_gemma":[0.9084945,0.0008688751,0.08786142,0.00008260008,0.00004419876,0.00007056449,0.002457252,0.00002492951,0.00009562216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1826339,"threshold_uncertainty_score":0.591647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07639670831542927,"score_gpt":0.2608657536390828,"score_spread":0.1844690453236535,"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."}}