{"id":"W2887716299","doi":"10.1158/1538-7445.am2018-2354","title":"Abstract 2354: Candidate non-coding driver mutations in super-enhancers and long-range chromatin interaction networks across 1,800 whole cancer genomes","year":2018,"lang":"en","type":"article","venue":"Cancer Research","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Biology; Enhancer; Genetics; Chromatin; Genome; Gene; Computational biology; Carcinogenesis; Indel; Transcription factor; Epigenetics; Exome; Regulatory sequence; Exome sequencing; Mutation; Single-nucleotide polymorphism","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":[0.0005230518,0.000365667,0.0005610866,0.002082777,0.0003836034,0.0006122596,0.0004069054,0.0003237527,0.002360509],"category_scores_gemma":[0.001357257,0.0001782954,0.0008183651,0.002137579,0.0003241517,0.0002150554,0.0005014309,0.0003605068,0.000410924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003460771,"about_ca_system_score_gemma":0.0003207264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003938831,"about_ca_topic_score_gemma":0.004859167,"domain_scores_codex":[0.9994571,0.0000595543,0.00002783606,0.0002900656,0.00009648602,0.00006893309],"domain_scores_gemma":[0.9992427,0.0003766932,0.0001775107,0.00007031313,0.00005569923,0.00007707054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001267605,0.000103054,0.6491705,0.0009067407,0.002331335,0.001135607,0.0003736491,0.0129675,0.2650359,0.001782815,0.00484022,0.06008506],"study_design_scores_gemma":[0.00005342924,0.0001437767,0.9337229,0.00004133664,0.0006987246,0.001344056,0.0001794283,0.03412387,0.01943035,0.001429517,0.00879553,0.0000371558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705359,0.001368336,0.01033308,0.00007509423,0.00001366965,0.00002485079,0.01582601,0.0008422296,0.0009808216],"genre_scores_gemma":[0.9762918,0.0001927917,0.005447634,0.00004850208,0.00001188211,0.00003053968,0.01721865,0.0001457581,0.0006124134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003938831,"threshold_uncertainty_score":0.007896721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908609087254255,"score_gpt":0.364137060523798,"score_spread":0.3350509696512555,"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."}}