{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001475422,0.001056367,0.0008413963,0.002369327,0.0002407875,0.0008601615,0.0006893681,0.00124008,0.002201364],"category_scores_gemma":[0.0007038758,0.0003599164,0.0004000337,0.001263778,0.0005884102,0.001241699,0.0006069636,0.001150657,0.003273869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007401775,"about_ca_system_score_gemma":0.0004698251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002966467,"about_ca_topic_score_gemma":0.0005280697,"domain_scores_codex":[0.9994476,0.0001262047,0.00002230341,0.00009696635,0.0002712707,0.00003555777],"domain_scores_gemma":[0.9997459,0.00007889738,0.00004964619,0.00001586072,0.00008238637,0.00002726093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002117167,0.0001393814,0.000824317,0.003571068,0.0001159716,0.0002951911,0.00007811289,0.001125014,0.5495971,0.008029841,0.01696027,0.419052],"study_design_scores_gemma":[0.00005652297,0.0007201218,0.005065662,0.001008988,0.000142498,0.003210325,0.0001840737,0.007334203,0.4697344,0.01118936,0.501227,0.0001268442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02213593,0.890452,0.06664589,0.003073619,0.001536885,0.0001706035,0.0004702406,0.0007141334,0.01480077],"genre_scores_gemma":[0.07345451,0.793164,0.1108049,0.001676345,0.001213756,0.0002565595,0.0009415645,0.0001675706,0.01832092],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002369327,"threshold_uncertainty_score":0.007802904,"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."}}