{"id":"W2999304491","doi":"10.1016/j.molcel.2019.12.027","title":"Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks","year":2020,"lang":"en","type":"article","venue":"Molecular Cell","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; Princess Margaret Cancer Centre; Hospital for Sick Children; University of Toronto; Ontario Institute for Cancer Research","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Institute for Cancer Research; Eesti Teadusagentuur; University of Toronto; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Biology; Chromatin; Genetics; Gene; Computational biology; Genome; Carcinogenesis; Epigenetics; Indel; Exome; Exome sequencing; Mutation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004243538,0.0001248879,0.0001017494,0.00002223239,0.0000392918,0.00002782323,0.00008386106,0.00008092599,0.00002610387],"category_scores_gemma":[0.00000675405,0.0001388769,0.00004027939,0.00006634827,0.00003476522,0.000004407354,0.00009259889,0.00008813609,0.000002968043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002656977,"about_ca_system_score_gemma":0.00002995062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005109541,"about_ca_topic_score_gemma":0.0003677605,"domain_scores_codex":[0.9992681,0.00003526285,0.0001832486,0.0002731736,0.00007143128,0.0001687971],"domain_scores_gemma":[0.9996769,0.000002727874,0.00007699071,0.0001366568,0.00002177149,0.00008497898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005109244,0.00006383959,0.04169291,0.00007155604,0.00005214275,0.00005054255,0.0003482623,0.01578644,0.9396706,0.00002596023,0.0003911463,0.001795531],"study_design_scores_gemma":[0.007924901,0.0009245731,0.2358195,0.0001637155,0.0002550075,0.00003217103,0.000913829,0.4533249,0.2839915,0.0001502198,0.01430583,0.002193734],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930178,0.0007940299,0.005474921,0.0001514233,0.00006735778,0.0001663393,0.0000246393,0.000007114503,0.0002963949],"genre_scores_gemma":[0.9986196,0.000170581,0.0003364423,0.0004341882,0.00005572334,0.00002524482,0.0002663088,0.00002401803,0.00006786319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.655679,"threshold_uncertainty_score":0.5663236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00433472809090435,"score_gpt":0.2174485476374324,"score_spread":0.2131138195465281,"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."}}