{"id":"W2087937056","doi":"10.1186/1471-2105-10-287","title":"Epitopia: a web-server for predicting B-cell epitopes","year":2009,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Tel Aviv University; Killam Trusts","keywords":"Epitope; Computer science; Web server; Web application; Interface (matter); Sequence (biology); Computational biology; Graphical user interface; Data mining; Bioinformatics; Antigen; Biology; The Internet; Operating system; Immunology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002858566,0.0002261627,0.0002057288,0.00005709556,0.0001567909,0.00009041433,0.00031039,0.0001947473,0.000007507036],"category_scores_gemma":[0.0001145176,0.000194922,0.0001901432,0.00009316863,0.00002352687,0.00002999184,0.00008460007,0.00009021654,0.00002454885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001353337,"about_ca_system_score_gemma":0.0001109467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001698096,"about_ca_topic_score_gemma":0.000006036168,"domain_scores_codex":[0.9987586,0.00001171882,0.0005658219,0.0001440575,0.0001387976,0.0003809762],"domain_scores_gemma":[0.9991137,0.00002185254,0.0002279687,0.0004543121,0.00009362228,0.00008859331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002892345,0.003592145,0.05783951,0.01048222,0.001019354,0.000004814747,0.0100219,0.01641385,0.2193241,0.01985165,0.3123179,0.3462403],"study_design_scores_gemma":[0.007615739,0.003070684,0.006558337,0.0001228987,0.0001616199,0.00006953878,0.002603665,0.639502,0.09975135,0.000774625,0.2382501,0.001519501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.821418,0.001339414,0.1524591,0.0003595496,0.0005994138,0.001750759,0.0001263367,0.0001377797,0.02180964],"genre_scores_gemma":[0.6853251,0.0003737746,0.3091409,0.001485961,0.0007079004,0.00007954496,0.000659318,0.00004491244,0.002182564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6230881,"threshold_uncertainty_score":0.7948688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522111856171145,"score_gpt":0.2332089179338898,"score_spread":0.2179877993721783,"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."}}