{"id":"W2263790045","doi":"10.1186/s13148-016-0182-9","title":"Identification of the epigenetic reader CBX2 as a potential drug target in advanced prostate cancer","year":2016,"lang":"en","type":"article","venue":"Clinical Epigenetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia; Université Laval","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; BC Cancer Foundation; Terry Fox Research Institute; Michael Smith Health Research BC; Prostate Cancer Canada","keywords":"Prostate cancer; Epigenetics; Identification (biology); Cancer; Medicine; Human genetics; Drug; Drug discovery; Bioinformatics; Computational biology; Internal medicine; Biology; Oncology; Pharmacology; Genetics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0008309949,0.0001935633,0.0002701047,0.00004760499,0.00006233241,0.00001410301,0.0004119068,0.0002347308,0.00003840566],"category_scores_gemma":[0.0008182452,0.000128601,0.0002146238,0.0001912336,0.0003243417,0.000005470799,0.0001914788,0.0001321865,0.00001294796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002321389,"about_ca_system_score_gemma":0.0002359549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002991826,"about_ca_topic_score_gemma":0.0001156775,"domain_scores_codex":[0.9973499,0.0003349873,0.00117189,0.000552775,0.0002716384,0.0003188634],"domain_scores_gemma":[0.9983112,0.00008658356,0.000488998,0.0007741132,0.00023247,0.0001066968],"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":[0.0001234896,0.0001608982,0.1735965,0.00001968888,0.00003165283,0.000001053106,0.00005669909,0.002036578,0.7877713,0.00004435748,0.00008352834,0.0360742],"study_design_scores_gemma":[0.001072903,0.0001730093,0.2505911,0.00005876536,0.00002867737,5.236942e-7,0.00003070333,0.0001348502,0.7374268,0.003368785,0.006904386,0.0002094502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899147,0.004633195,0.002796214,0.00113122,0.0008485873,0.0005041287,0.00005841891,0.000007480529,0.000106047],"genre_scores_gemma":[0.9876035,0.009099416,0.0005414556,0.0001316837,0.0002270469,0.00006061451,0.00001331212,0.00003752192,0.002285422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07699461,"threshold_uncertainty_score":0.5244198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341067941024567,"score_gpt":0.3341558411526209,"score_spread":0.3207451617423753,"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."}}