{"id":"W4379768595","doi":"10.1158/0008-5472.can-23-0593","title":"The Genomic and Epigenomic Landscape of Double-Negative Metastatic Prostate Cancer","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Kruppel-like factors research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"University of California, San Francisco; Movember Foundation; National Cancer Institute; Prostate Cancer Foundation; American Association for Cancer Research; Stand Up To Cancer; U.S. Department of Defense","keywords":"Prostate cancer; Androgen receptor; Epigenomics; Biology; DNA methylation; Cancer research; Epigenetics; PTEN; Androgen deprivation therapy; Cancer; Genetics; Gene; PI3K/AKT/mTOR pathway; Gene expression","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":[],"consensus_categories":[],"category_scores_codex":[0.001284076,0.000123695,0.0001628487,0.0001455122,0.0002677968,0.00006561684,0.0003978261,0.00006042589,0.00008690625],"category_scores_gemma":[0.0001442822,0.00008774632,0.00004912091,0.0005068594,0.0005444807,0.000005351492,0.000493817,0.0002734317,0.00003550968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007151161,"about_ca_system_score_gemma":0.0007085032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001359851,"about_ca_topic_score_gemma":0.001588695,"domain_scores_codex":[0.998094,0.0002340006,0.0002042408,0.0003877645,0.0004188834,0.0006611203],"domain_scores_gemma":[0.9988587,0.0001799466,0.00005492601,0.0003965015,0.0003770048,0.0001329334],"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":[0.0007852438,0.00001526737,0.01699438,0.0001038557,0.0001888815,0.000005616509,0.0005149953,0.0001284217,0.9638296,0.00008210306,0.01002246,0.007329162],"study_design_scores_gemma":[0.00238618,0.0004061589,0.04496073,0.00005664799,0.0000198152,0.000003683389,0.001809384,0.000212548,0.9009421,0.0005890395,0.04834382,0.0002698172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908797,0.006865839,0.000002534585,0.0009738014,0.00009170178,0.0006663219,0.0001648403,0.000009790652,0.0003455254],"genre_scores_gemma":[0.9741568,0.01954805,0.00001530027,0.00001499618,0.0001236469,0.0005366286,0.00003113014,0.00003753121,0.005535893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06288745,"threshold_uncertainty_score":0.3578191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06860340805537776,"score_gpt":0.4114834518861116,"score_spread":0.3428800438307339,"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."}}