{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007906532,0.0001182365,0.0001004389,0.0003533936,0.00009555359,0.000182745,0.00008726094,0.00008267073,0.0006955685],"category_scores_gemma":[0.0001369612,0.0000744459,0.00008438558,0.0002137094,0.0001081379,0.00008570919,0.0001492099,0.0001492193,0.00009847646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328594,"about_ca_system_score_gemma":0.0001503169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007926259,"about_ca_topic_score_gemma":0.002153028,"domain_scores_codex":[0.9999323,0.000006933461,0.000002466418,0.00002704792,0.00002128733,0.000009886949],"domain_scores_gemma":[0.999943,0.000007965972,0.00002387854,0.00000607573,0.000008456564,0.00001064185],"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":[0.0001953774,0.00001488204,0.04908314,0.00007944545,0.00005701835,0.0001955884,0.0000696128,0.0003258826,0.9305706,0.0003175297,0.0001696782,0.01892132],"study_design_scores_gemma":[0.00001024288,0.0002408803,0.860014,0.00001662437,0.0001290745,0.002986548,0.0001579858,0.002015668,0.1277167,0.0005215092,0.006175878,0.00001494528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994208,0.001471618,0.002421443,0.00004624369,0.000004345764,0.00001078852,0.0009248623,0.00004136238,0.0008713336],"genre_scores_gemma":[0.9969415,0.0005674693,0.001012557,0.00003285282,0.000003545473,0.000008429596,0.0008180681,0.000009194099,0.0006062582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007926259,"threshold_uncertainty_score":0.002326846,"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."}}