{"id":"W3004859565","doi":"10.1038/s41586-020-1965-x","title":"Analyses of non-coding somatic drivers in 2,658 cancer whole genomes","year":2020,"lang":"en","type":"article","venue":"Nature","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":663,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Prostate Cancer Canada; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Princess Margaret Cancer Centre; University of Calgary; Genome Canada; Canada's Michael Smith Genome Sciences Centre; McGill University; University of Ottawa; Simon Fraser University; McGill University and Génome Québec Innovation Centre; Toronto General Hospital; University Health Network; BC Cancer Agency; SickKids Foundation; University of Toronto; Institute of Cancer Research; Ontario Institute for Cancer Research","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; Ministerio de Economía y Competitividad; Cancer Research UK; Broad Institute; Francis Crick Institute; National Human Genome Research Institute; Wellcome Trust; Kræftens Bekæmpelse; Cure Starts Now Foundation; Dana-Farber Cancer Institute","keywords":"Somatic cell; Genome; Biology; Coding (social sciences); Genetics; Computational biology; Evolutionary biology; Gene; Statistics; Mathematics","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":[0.001232096,0.0004318951,0.0004808646,0.001949013,0.0004906109,0.0005026435,0.0003724328,0.0004655675,0.001459996],"category_scores_gemma":[0.002773134,0.0002412638,0.0009007414,0.001981017,0.000251441,0.0002113718,0.000819127,0.0004925019,0.000208852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003982811,"about_ca_system_score_gemma":0.0004256828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003270114,"about_ca_topic_score_gemma":0.00652923,"domain_scores_codex":[0.9990572,0.0002061308,0.00005502898,0.0002971124,0.0002786637,0.0001058765],"domain_scores_gemma":[0.9986477,0.0007635786,0.0002081626,0.0001625632,0.0001105383,0.0001072869],"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":[0.00155428,0.0001401365,0.4035549,0.0005761856,0.003810866,0.001252479,0.0004526851,0.009905767,0.5219344,0.002275507,0.001776512,0.0527661],"study_design_scores_gemma":[0.00009614082,0.0003296385,0.9304987,0.00002794913,0.0009612876,0.001588685,0.0001618964,0.01015929,0.04275691,0.001827742,0.01154825,0.00004345831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775838,0.0008606121,0.01239589,0.0001062088,0.00001584128,0.0000449092,0.007728453,0.0002438426,0.001020544],"genre_scores_gemma":[0.9712374,0.0003967811,0.013069,0.0001461168,0.00001379742,0.0000755175,0.01423254,0.0001382019,0.0006907441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003270114,"threshold_uncertainty_score":0.006516039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142479429669022,"score_gpt":0.3038973397957636,"score_spread":0.2896493968288614,"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."}}