{"id":"W2997256142","doi":"10.1002/mas.21616","title":"IDENTIFICATION OF MHC PEPTIDES USING MASS SPECTROMETRY FOR NEOANTIGEN DISCOVERY AND CANCER VACCINE DEVELOPMENT","year":2019,"lang":"en","type":"review","venue":"Mass Spectrometry Reviews","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computational biology; Major histocompatibility complex; Cancer immunotherapy; Chemistry; Cancer vaccine; Immunotherapy; Cancer; Genome; Antigen; Biology; Genetics; Gene; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009296124,0.000655224,0.002375222,0.0003761276,0.0001040448,0.0001294996,0.0004933611,0.0003360092,0.00002871428],"category_scores_gemma":[0.0001340884,0.0005109751,0.000668387,0.0005361422,0.00002911983,0.00003276796,0.0001925305,0.0002046419,0.00001437498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431518,"about_ca_system_score_gemma":0.0003059707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005413907,"about_ca_topic_score_gemma":0.000002299434,"domain_scores_codex":[0.9966098,0.00009901399,0.001977067,0.000665939,0.0001945012,0.0004536711],"domain_scores_gemma":[0.9971296,0.0000389691,0.001819589,0.0008451819,0.00009202559,0.00007466012],"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":[0.00006173143,0.0001432284,0.0003418703,0.1521518,0.001886231,8.888105e-7,0.00006348927,0.000008048282,0.179223,0.0002004884,0.001360776,0.6645584],"study_design_scores_gemma":[0.0003557351,0.0001528863,0.00004776072,0.003627947,0.001070144,0.00002423866,0.00003045923,0.00004974538,0.009061295,0.00002844446,0.9848632,0.0006882007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001332858,0.9741771,0.02152652,0.0000116243,0.0002788079,0.002454473,0.0001391107,0.000007817368,0.0000716509],"genre_scores_gemma":[0.0001021853,0.973592,0.02383207,0.00002015103,0.0002846995,0.0002494533,0.0005891101,0.00009186659,0.001238416],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9835024,"threshold_uncertainty_score":0.9997342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06327592731845476,"score_gpt":0.334311518002031,"score_spread":0.2710355906835762,"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."}}