{"id":"W3170360714","doi":"10.1101/2021.06.08.447172","title":"Shotgun Immunoproteomic Approach for the Discovery of Linear B Cell Epitopes in Biothreat Agents <i>Francisella tularensis</i> and <i>Burkholderia pseudomallei</i>","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Livermore National Laboratory; National Nuclear Security Administration; National Institute of Allergy and Infectious Diseases; National Research Council Canada; National Institutes of Health; Sandia National Laboratories; Laboratory Directed Research and Development; U.S. Department of Energy","keywords":"Epitope; Francisella tularensis; Proteome; Biology; Computational biology; Antigen; Epitope mapping; Immune system; Burkholderia pseudomallei; Francisella; Reverse vaccinology; Microbiology; Virology; Immunology; Bacteria; Gene; Bioinformatics; Genetics; Virulence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002220583,0.0004357412,0.0002947328,0.0006052978,0.0001811053,0.0003598425,0.0002608795,0.0003931391,0.0004734154],"category_scores_gemma":[0.000164531,0.0001441155,0.0003508939,0.0002681557,0.0001914114,0.0002168598,0.0003345059,0.0004288933,0.0002946258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001578936,"about_ca_system_score_gemma":0.0001634596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004017676,"about_ca_topic_score_gemma":0.0006266566,"domain_scores_codex":[0.9998227,0.00002674739,0.00001086775,0.00004124968,0.00006955194,0.00002887097],"domain_scores_gemma":[0.9999005,0.00002037363,0.00002737577,0.00001118016,0.00002382989,0.00001669195],"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":[0.00001738947,0.00001321583,0.0001949415,0.00002377233,0.000004226093,0.00002595267,0.00000743017,0.00003416614,0.9985549,0.00002063962,0.00002062472,0.00108274],"study_design_scores_gemma":[0.000004028614,0.0001635606,0.003787508,0.000005356684,0.00001914282,0.0002210199,0.00003403495,0.002100153,0.9924409,0.00004339748,0.001173576,0.000007349309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9405662,0.001622115,0.05474435,0.0001687017,0.00004374743,0.0001809841,0.001083723,0.0004088903,0.001181277],"genre_scores_gemma":[0.9266635,0.001391583,0.06767613,0.0002262882,0.00002201856,0.0001638409,0.002107218,0.0000695495,0.001679819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006052978,"threshold_uncertainty_score":0.001583695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237912843704474,"score_gpt":0.2083255692858349,"score_spread":0.1959464408487901,"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."}}