{"id":"W2770759534","doi":"10.1186/s12920-017-0309-7","title":"Correction to: FLAGS, frequently mutated genes in public exomes","year":2017,"lang":"en","type":"erratum","venue":"BMC Medical Genomics","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Genome British Columbia; Child and Family Research Institute; Women's Health Research Institute; University of British Columbia","funders":"BC Children's Hospital; Child and Family Research Institute","keywords":"Human genetics; Computational biology; FLAGS register; Computer science; Genetics; Exome sequencing; Bioinformatics; Biology; Gene; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007310719,0.002177048,0.001717386,0.005075373,0.003346728,0.00505081,0.003246735,0.005165832,0.1807124],"category_scores_gemma":[0.1102211,0.001126673,0.001555465,0.00463018,0.002316478,0.002852887,0.003977,0.008679058,0.08540544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003418517,"about_ca_system_score_gemma":0.006630505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01143569,"about_ca_topic_score_gemma":0.01119175,"domain_scores_codex":[0.9920452,0.001244927,0.001384979,0.001147298,0.003618512,0.0005591251],"domain_scores_gemma":[0.9413334,0.02143244,0.003868688,0.004539518,0.02679218,0.002033829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003535675,0.000004128841,0.00009560534,0.0001106977,0.00001098196,0.0002191168,0.00003717106,0.00003766191,0.00007069761,0.0005758539,0.9935774,0.005225399],"study_design_scores_gemma":[0.00006528877,0.0000173723,0.0007014339,0.0005359892,0.00004805679,0.00142082,0.00008671408,0.0002210248,0.0006475628,0.001786019,0.9944096,0.00006014408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0007528505,0.001530861,0.005773219,0.107651,0.8459705,0.00008058645,0.02611809,0.004687825,0.00743504],"genre_scores_gemma":[0.03834324,0.01257937,0.03091524,0.1730376,0.2357305,0.0008123011,0.0793899,0.02444575,0.4047461],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1807124,"threshold_uncertainty_score":0.6045431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761470460619725,"score_gpt":0.2685464871851044,"score_spread":0.2509317825789071,"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."}}