{"id":"W2922343610","doi":"10.1016/j.ccell.2019.02.005","title":"The Proteogenomic Landscape of Curable Prostate Cancer","year":2019,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":278,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of British Columbia; Princess Margaret Cancer Centre; University of Toronto; University Health Network; Queen's University; Ontario Institute for Cancer Research","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Canada Foundation for Innovation; Prostate Cancer Canada; Movember Foundation; Ontario Genomics Institute; National Cancer Institute; Government of Canada; Canadian Cancer Society","keywords":"Epigenomics; Transcriptome; Proteome; Prostate cancer; Biology; Proteogenomics; Computational biology; Genome; Proteomics; Genomics; Chromoplexy; Epigenetics; Cancer; Prostate; Genetics; Gene; DNA methylation; Bioinformatics; Gene expression; PCA3","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001205022,0.0001117458,0.0002042268,0.00002406501,0.0000739005,0.00001559501,0.0001153769,0.00004326205,0.001341349],"category_scores_gemma":[0.000003768365,0.00006245511,0.00007079499,0.0001343913,0.00007357205,0.00005684764,0.00003861953,0.0001305932,0.00008142864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001914507,"about_ca_system_score_gemma":0.0005775812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007268428,"about_ca_topic_score_gemma":0.0001104625,"domain_scores_codex":[0.9990683,0.0000198823,0.000165949,0.0002039863,0.0002167267,0.0003251391],"domain_scores_gemma":[0.9993551,0.00003465266,0.00008413442,0.0003067146,0.0001323471,0.00008707381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003256215,0.0002422784,0.6371256,0.001683661,0.0003681423,0.00001976932,0.00176894,0.0001841227,0.2914318,0.0000987928,0.02290649,0.04091419],"study_design_scores_gemma":[0.008334312,0.0007983527,0.02609017,0.0004603825,0.0001668869,0.000005139339,0.0009446486,0.0005359838,0.6360376,0.0001150897,0.3262127,0.0002987036],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9086413,0.05953627,5.702644e-7,0.001349404,0.0003305403,0.001604543,0.00004942366,0.00002142668,0.02846656],"genre_scores_gemma":[0.8968014,0.02218527,0.00002115437,0.00008429975,0.0001129014,0.0004529498,0.00001178158,0.00002599969,0.08030421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6110354,"threshold_uncertainty_score":0.9995716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338001234590985,"score_gpt":0.2935134348616462,"score_spread":0.2801334225157363,"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."}}