{"id":"W3022369650","doi":"10.1016/j.ccell.2020.04.012","title":"Comprehensive Analysis of Genetic Ancestry and Its Molecular Correlates in Cancer","year":2020,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":327,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; Bayer Fund; Bayer Corporation; AstraZeneca; Eli Lilly and Company","keywords":"Cancer; Biology; Genetics; DNA methylation; Confounding; Gene; Bladder cancer; Kidney cancer; Genome; Cancer research; Medicine; Internal medicine; 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":[0.0002802842,0.0001237087,0.0002613139,0.001180588,0.0002968968,0.0002864015,0.0001652388,0.000126819,0.0007631272],"category_scores_gemma":[0.0003061001,0.0001112521,0.0001695774,0.001207156,0.0002208863,0.0002111867,0.0004582489,0.0002435673,0.0001051296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644929,"about_ca_system_score_gemma":0.0002875205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001853629,"about_ca_topic_score_gemma":0.004263386,"domain_scores_codex":[0.9998785,0.00002325706,0.000008447612,0.0000390999,0.00002839659,0.00002227025],"domain_scores_gemma":[0.9998459,0.00004238623,0.00003966728,0.00002892202,0.00001907124,0.00002405229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005596692,0.00005318488,0.1649395,0.0001143166,0.0003282466,0.0003015848,0.000289013,0.00116371,0.790291,0.002509699,0.0001927172,0.03925737],"study_design_scores_gemma":[0.000009177891,0.000167784,0.8984001,0.00001052227,0.0003477596,0.000874348,0.0002519976,0.001843283,0.09185573,0.001908794,0.004312994,0.00001748187],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907727,0.002313988,0.004914897,0.00005240899,0.000003818652,0.000008590525,0.0009200078,0.00003378671,0.0009798466],"genre_scores_gemma":[0.9961701,0.0008995102,0.001966066,0.00001576879,0.00000524155,0.000005032237,0.0004580459,0.00001330822,0.0004669745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001853629,"threshold_uncertainty_score":0.003685713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839786868800517,"score_gpt":0.2941881195969248,"score_spread":0.2657902509089197,"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."}}