{"id":"W1968081995","doi":"10.1016/j.humimm.2014.03.003","title":"T-cell epitope discovery technologies","year":2014,"lang":"en","type":"review","venue":"Human Immunology","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; BC Cancer Agency; University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"Canadian Institutes of Health Research","keywords":"Epitope; Effector; Computational biology; Repertoire; Antigen; Biology; Cell; TRACE (psycholinguistics); Data science; Computer science; Cell biology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001949901,0.000589132,0.001392901,0.0001998903,0.0001928598,0.00009870372,0.001115333,0.001148116,0.00001965024],"category_scores_gemma":[0.00005955255,0.0004725734,0.0005874596,0.0001252334,0.0002174639,0.000008808248,0.0009093896,0.000500899,0.0002001688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003196812,"about_ca_system_score_gemma":0.0001176729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007492157,"about_ca_topic_score_gemma":0.000002953327,"domain_scores_codex":[0.9979896,0.0001149152,0.0007887539,0.0005203368,0.0000837582,0.0005026154],"domain_scores_gemma":[0.9979196,0.00002281721,0.0005491383,0.001442676,0.00004327467,0.00002255779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001278374,0.0001460812,0.000003464832,0.007696181,0.0006770038,0.000004201633,0.00002440949,7.568525e-7,0.002525709,0.002561206,0.01182218,0.974526],"study_design_scores_gemma":[0.0002636674,0.0003558423,0.000001938477,0.0005855219,0.0001771182,0.00007823694,0.00007250576,5.96874e-7,0.0005785311,0.0001066028,0.9972385,0.0005409212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002340096,0.9950862,0.0002009074,0.00001334036,0.0003172715,0.0004561885,0.00002391438,0.00008954839,0.003578611],"genre_scores_gemma":[0.0004044361,0.9937755,0.0002073251,0.00002559832,0.0001800298,0.0001760324,0.001156542,0.0000913511,0.003983115],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9854164,"threshold_uncertainty_score":0.9997726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02406862993749588,"score_gpt":0.2806163342844022,"score_spread":0.2565477043469064,"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."}}