{"id":"W4414466025","doi":"10.1158/2326-6074.cimm25-pr-09","title":"Abstract PR-09: Meta-Analysis of Neoantigens: Insights from the Cancer Epitope Database and Analysis Resource (CEDAR)","year":2025,"lang":"en","type":"article","venue":"Cancer Immunology Research","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epitope; Human leukocyte antigen; Cancer; Gene; Colorectal cancer; Mutation; MHC class I; Major histocompatibility complex","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02038934,0.001638055,0.006573987,0.01238018,0.0005118508,0.003231113,0.002971626,0.001441501,0.003525045],"category_scores_gemma":[0.03470417,0.0008363688,0.01506409,0.009207156,0.0003749556,0.001120917,0.0024648,0.001337404,0.0005519073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009700531,"about_ca_system_score_gemma":0.001507677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004033516,"about_ca_topic_score_gemma":0.004972377,"domain_scores_codex":[0.9827678,0.009282481,0.001897524,0.003929007,0.001731298,0.0003918363],"domain_scores_gemma":[0.9530112,0.0375759,0.003672018,0.003811124,0.001162471,0.0007673965],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004982389,0.0001786048,0.3208119,0.03597036,0.5425168,0.001067511,0.0001956336,0.02227578,0.005652769,0.001488679,0.01725318,0.04760632],"study_design_scores_gemma":[0.001985683,0.002207713,0.3225185,0.005011765,0.5424952,0.00387985,0.000464737,0.05194911,0.005425378,0.007179727,0.0565408,0.000341462],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3206075,0.2849713,0.04777353,0.003517304,0.0004260165,0.000922475,0.3353858,0.003308326,0.003087689],"genre_scores_gemma":[0.8429149,0.013258,0.02934056,0.001061129,0.0002196157,0.0008339001,0.1112723,0.0006312736,0.000468279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9796107,"threshold_uncertainty_score":0.1078304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.175173290439086,"score_gpt":0.4515171868401038,"score_spread":0.2763438964010179,"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."}}