{"id":"W4389244749","doi":"10.1158/2326-6074.tumimm23-a027","title":"Abstract A027: Exploring autoantibody response to proteins encoded by prostate cancer driver genes","year":2023,"lang":"en","type":"article","venue":"Cancer Immunology Research","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"KEGG; Prostate cancer; Gene; Cancer; Biology; Computational biology; Autoantibody; Immunogenicity; Candidate gene; Genetics; Immune system; Transcriptome; Antibody; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002071857,0.0003401231,0.0005491857,0.001183483,0.0006207246,0.00009003541,0.000510598,0.0002406082,0.001262314],"category_scores_gemma":[0.0003659707,0.0002800779,0.0001289726,0.002642908,0.0006764468,0.0002695571,0.0005183858,0.001236746,0.001338579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308445,"about_ca_system_score_gemma":0.002156141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002267885,"about_ca_topic_score_gemma":0.0001197177,"domain_scores_codex":[0.9950278,0.0004352869,0.0004275103,0.000969811,0.001107872,0.002031674],"domain_scores_gemma":[0.9974297,0.000398484,0.00006433474,0.0008176016,0.0008428658,0.0004470288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01275987,0.0001638826,0.01966795,0.0001871964,0.0004868337,0.0005124388,0.002530314,0.00003049066,0.886364,0.0000134055,0.02509607,0.05218752],"study_design_scores_gemma":[0.004773851,0.001397182,0.2244629,0.0007255016,0.00003977512,0.00001699773,0.001711395,0.00005769578,0.5328733,0.00006781135,0.2334347,0.0004388664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540369,0.01721303,0.000002741462,0.02406716,0.0005173199,0.003030201,0.0002554813,0.0003443957,0.0005327992],"genre_scores_gemma":[0.8766438,0.04195627,0.00006785013,0.0001698647,0.0003249208,0.01349912,0.0001454058,0.0001430769,0.06704966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3534907,"threshold_uncertainty_score":0.9999651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1550100534775077,"score_gpt":0.444375932383939,"score_spread":0.2893658789064313,"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."}}