{"id":"W2947651192","doi":"10.1200/jco.2019.37.15_suppl.3052","title":"Cell-free methylated DNA (cfMeDNA) immunoprecipitation and high throughput sequencing technology (cfMeDIP-seq) in patients with clear cell renal cell carcinoma (ccRCC).","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Clear cell renal cell carcinoma; DNA methylation; Cancer research; Methylation; Medicine; CpG site; Renal cell carcinoma; Computational biology; Epigenomics; Biology; Oncology; DNA; Gene; Genetics; 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":[0.0003675962,0.0002244802,0.0003335299,0.0003746867,0.0003206184,0.000516607,0.0003150714,0.0005483339,0.001130456],"category_scores_gemma":[0.001030391,0.0001822352,0.0003524517,0.000318762,0.000168296,0.0002188,0.000283605,0.0004312174,0.0002584705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005349047,"about_ca_system_score_gemma":0.0003049914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006010702,"about_ca_topic_score_gemma":0.009096781,"domain_scores_codex":[0.9996549,0.00005000059,0.00002360188,0.0001548784,0.00007721175,0.0000393608],"domain_scores_gemma":[0.9996399,0.00008766804,0.0000795544,0.00003563271,0.0000955488,0.00006160598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002554788,0.0001582335,0.8580089,0.0002559167,0.0001931732,0.001502857,0.0004737518,0.002167907,0.1019608,0.0002357364,0.0030221,0.02946576],"study_design_scores_gemma":[0.00009598246,0.0007639843,0.9353596,0.00004603998,0.0002807091,0.003997058,0.0004619616,0.01354624,0.03991677,0.0003416877,0.005156165,0.00003376095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917379,0.001087989,0.003652826,0.0001722083,0.000021841,0.00005878373,0.002501598,0.00007731045,0.0006895181],"genre_scores_gemma":[0.9932283,0.0001668878,0.002869132,0.0001915133,0.00001526476,0.00004529549,0.002870678,0.0000207037,0.0005923603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006010702,"threshold_uncertainty_score":0.01195145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864368404657844,"score_gpt":0.3069278738559287,"score_spread":0.2882841898093503,"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."}}