{"id":"W4220990421","doi":"10.1158/1538-7445.sabcs21-es13-3","title":"Abstract ES13-3: Novel epigenomic targets in TNBC","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Epigenomics; Triple-negative breast cancer; Epigenetics; Breast cancer; Cancer; Triple negative; Cancer research; Medicine; Bioinformatics; Epigenesis; Computational biology; Oncology; Biology; DNA methylation; Genetics; Internal medicine; Gene","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":[0.0002171865,0.0003359972,0.0002721689,0.0004069496,0.0001895149,0.0004287574,0.0002611413,0.0004077597,0.007224243],"category_scores_gemma":[0.0001135597,0.0001042306,0.0001632949,0.0003818066,0.0001349086,0.0001412875,0.0002471245,0.0005309598,0.00154273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000478656,"about_ca_system_score_gemma":0.0003326518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009206868,"about_ca_topic_score_gemma":0.002199073,"domain_scores_codex":[0.9999396,0.00001118907,0.000003361786,0.000009905822,0.00002192515,0.00001411975],"domain_scores_gemma":[0.9999565,0.00000602796,0.000007003408,0.000003853033,0.00001244964,0.00001414266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001726793,0.0002746914,0.00376611,0.0004899384,0.00006953577,0.001002214,0.0000793421,0.00169745,0.7816896,0.003473955,0.01840221,0.1873282],"study_design_scores_gemma":[0.0005040009,0.002655641,0.03488171,0.0001573728,0.0001565969,0.003884224,0.0001185775,0.003008072,0.6274964,0.002094017,0.3250063,0.00003702359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7036367,0.1511689,0.01299132,0.007634517,0.001497473,0.0006496051,0.008024991,0.001065847,0.1133306],"genre_scores_gemma":[0.8677117,0.05868529,0.006705523,0.001996272,0.0002840662,0.0002794345,0.006058063,0.0001355198,0.05814411],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007224243,"threshold_uncertainty_score":0.02416748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07074015856699441,"score_gpt":0.3973169133295152,"score_spread":0.3265767547625208,"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."}}