{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004405034,0.0002804536,0.0004363816,0.001041571,0.0003969296,0.001388105,0.0002407351,0.0003024998,0.002644559],"category_scores_gemma":[0.001212072,0.0001455157,0.0002652503,0.001143356,0.0003755803,0.000694539,0.000663859,0.0006264774,0.0004456981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004302603,"about_ca_system_score_gemma":0.0005042326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009295434,"about_ca_topic_score_gemma":0.0017968,"domain_scores_codex":[0.9996394,0.00006941813,0.00001284698,0.00008904841,0.0001108604,0.00007842817],"domain_scores_gemma":[0.9996318,0.00008399098,0.0001191482,0.00004170245,0.00006370628,0.00005954972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001007593,0.0001944726,0.2111178,0.001240094,0.0015006,0.001390721,0.0009650942,0.007633035,0.403304,0.03844093,0.02441601,0.3087895],"study_design_scores_gemma":[0.0000385225,0.0004186233,0.7561615,0.0002725109,0.0005702606,0.003820207,0.001495342,0.01415318,0.03119885,0.06934154,0.1224335,0.00009595528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215262,0.03536367,0.008842913,0.01072434,0.0001511532,0.00003553429,0.00755251,0.000281316,0.01552233],"genre_scores_gemma":[0.9840786,0.007459581,0.001716704,0.001178441,0.0001238719,0.00001609816,0.00316948,0.00007175215,0.002185542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002644559,"threshold_uncertainty_score":0.008846939,"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."}}