{"id":"W3041912701","doi":"10.1038/s41588-020-0648-8","title":"The DNA methylation landscape of advanced prostate cancer","year":2020,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":353,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Princess Margaret Cancer Centre; BC Cancer Agency; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"Janssen Biotech; National Cancer Institute; National Institute of Environmental Health Sciences; Astellas Pharma; Howard Hughes Medical Institute","keywords":"Biology; DNA methylation; Epigenomics; Transcriptome; Epigenetics; Bisulfite sequencing; Methylation; Prostate cancer; Illumina Methylation Assay; Genetics; DNMT3B; Gene; Genome; Cancer research; Cancer; 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":[0.0001184799,0.0001058745,0.00009596179,0.0000124756,0.00007455717,0.00001512179,0.0001666383,0.0002077491,0.00000665217],"category_scores_gemma":[0.0001239731,0.00007897975,0.00005783472,0.0001321656,0.00004224211,0.000001644357,0.00006458639,0.0001511999,0.000001558399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000408731,"about_ca_system_score_gemma":0.00006229494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001035509,"about_ca_topic_score_gemma":0.00001842585,"domain_scores_codex":[0.9992368,0.0000424748,0.0001934692,0.0002150494,0.0001654827,0.0001466913],"domain_scores_gemma":[0.9993951,0.00001888948,0.0001289999,0.0002135538,0.0001806054,0.00006286067],"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":[0.0001069085,0.000009452499,0.00729587,0.00001844039,0.00003509265,2.441021e-7,0.0001246416,0.002709302,0.9384365,0.00003393123,0.0005679211,0.05066171],"study_design_scores_gemma":[0.0003095769,0.0001794892,0.009684474,0.000004330635,0.00001803473,1.422887e-7,0.00004984252,0.000392906,0.8496234,0.0001490296,0.1394887,0.0001000381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358982,0.06163933,0.0003177394,0.001142969,0.0002265979,0.0002106132,0.00003212167,0.00000738277,0.0005250384],"genre_scores_gemma":[0.9886889,0.009667711,0.0008799469,0.0002437323,0.0002880911,0.00001461861,0.00006131129,0.00001900265,0.0001366898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1389208,"threshold_uncertainty_score":0.3220701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007079124434383316,"score_gpt":0.2722507145645297,"score_spread":0.2651715901301464,"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."}}