{"id":"W3134785045","doi":"10.1200/jco.2021.39.6_suppl.148","title":"5-hydroxymethylcytosine as a liquid biopsy biomarker in mCRPC.","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of British Columbia","funders":"National Institutes of Health; Svenska Läkaresällskapet; Prostate Cancer Foundation","keywords":"Epigenetics; DNA methylation; 5-Hydroxymethylcytosine; Gene; Liquid biopsy; Bisulfite sequencing; Biomarker; Medicine; Biology; Gene expression; Cancer; Cancer research; Genetics","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":[0.0004593265,0.0002946654,0.0002863663,0.0009683503,0.0001985678,0.0003968244,0.0002593179,0.0004777789,0.0007487697],"category_scores_gemma":[0.000813912,0.0001344969,0.0001210498,0.0005834943,0.0002416398,0.0001811668,0.0002003322,0.0003211609,0.0002226181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003984741,"about_ca_system_score_gemma":0.0002757909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003838603,"about_ca_topic_score_gemma":0.004458665,"domain_scores_codex":[0.999777,0.00004633326,0.00001615908,0.00005144771,0.00008247935,0.00002656228],"domain_scores_gemma":[0.9996797,0.0000838467,0.00009764716,0.00001815143,0.00007593594,0.00004477525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002427922,0.00007832858,0.7466999,0.0003017229,0.0001021338,0.0009415561,0.0001485945,0.0009791441,0.2055727,0.0001700316,0.000442777,0.04213518],"study_design_scores_gemma":[0.00004504578,0.001406662,0.8286548,0.00009124212,0.0002153928,0.005976342,0.0002834674,0.01190907,0.1463318,0.0002797432,0.004785113,0.00002142379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843263,0.009960032,0.003353547,0.0001450636,0.00002338912,0.00007615225,0.0007302554,0.0001072585,0.001278008],"genre_scores_gemma":[0.9957146,0.0006508875,0.002798932,0.00005151726,0.000009255459,0.00001661298,0.0003951386,0.000008225148,0.0003547633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003838603,"threshold_uncertainty_score":0.007632494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1925712742910928,"score_gpt":0.5391417807923622,"score_spread":0.3465705065012694,"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."}}