{"id":"W4210288638","doi":"10.3390/vaccines10020196","title":"Neoantigen Cancer Vaccines: Generation, Optimization, and Therapeutic Targeting Strategies","year":2022,"lang":"en","type":"review","venue":"Vaccines","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Clinical trial; Therapeutic modalities; Cancer; Identification (biology); Cancer immunotherapy; Immunotherapy; Modalities; Computational biology; Immunology; Immune system; Biology; Pathology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003232401,0.0005813471,0.001277593,0.0003059741,0.0007779758,0.0001234498,0.0003919049,0.0003897903,0.01147768],"category_scores_gemma":[0.00005378063,0.0004512144,0.0002576661,0.0004007016,0.00004582416,0.0001728854,0.0001445195,0.000477136,0.0000597307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000632177,"about_ca_system_score_gemma":0.0005937334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001502478,"about_ca_topic_score_gemma":0.00001163344,"domain_scores_codex":[0.9974346,0.0007773411,0.0007777613,0.0005484385,0.00004675357,0.000415089],"domain_scores_gemma":[0.9987242,0.0003176164,0.0004702087,0.0003879567,0.00008354081,0.00001653638],"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":[0.00008202147,0.00007779799,0.0000256335,0.002007069,0.001685179,0.000004457915,0.0005196661,0.0006112935,0.0006941242,0.000243828,0.005724538,0.9883244],"study_design_scores_gemma":[0.0004590351,0.00008510359,0.000009591331,0.0004382688,0.0005219509,0.00009732387,0.0003080226,0.00002453349,0.00006890994,0.00001195185,0.9974706,0.0005047317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001323021,0.9970081,0.0002403095,0.00007386576,0.001615596,0.0006570854,0.00006163212,0.0001295561,0.00008154626],"genre_scores_gemma":[0.00006685827,0.9946973,0.00007663737,0.0001162992,0.0002218842,0.0004245762,0.0008530846,0.0001024964,0.003440849],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9917461,"threshold_uncertainty_score":0.9997939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0465843993243756,"score_gpt":0.3142125855572218,"score_spread":0.2676281862328462,"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."}}