{"id":"W2724571272","doi":"10.1038/nature22992","title":"Recurrent and functional regulatory mutations in breast cancer","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":319,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Cancer Institute","keywords":"Promoter; Gene; Biology; Genetics; FOXA1; Breast cancer; Coding region; Computational biology; Cancer research; Transcription factor; Cancer; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006620846,0.00005172612,0.00004381076,0.0000151517,0.0001067918,0.00002168009,0.00006358889,0.000379541,0.0000407616],"category_scores_gemma":[0.00002657517,0.00004625761,0.00001819216,0.000009844931,0.0000330626,0.000003255955,0.00003641315,0.0001983774,0.00000151026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006259168,"about_ca_system_score_gemma":0.00003113933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001166643,"about_ca_topic_score_gemma":0.00007810913,"domain_scores_codex":[0.9996683,0.00001309221,0.00004609954,0.0001443184,0.00005794532,0.00007022423],"domain_scores_gemma":[0.9997274,0.00000267669,0.00003685854,0.0001781335,0.00002849002,0.0000264342],"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":[0.0001379391,0.00003771986,0.02528333,0.00001830742,0.00002806576,0.000003577826,0.00002602703,0.000009314616,0.906428,0.001500834,0.005463911,0.06106296],"study_design_scores_gemma":[0.0003708247,0.00002322779,0.8725092,0.00003556812,0.000007902703,0.00002089873,0.0000160377,0.0000136561,0.1045755,0.001017336,0.02128223,0.0001275886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934165,0.003120681,0.00003286232,0.002297913,0.0003469412,0.00007649007,0.00004589734,0.00000331718,0.0006594064],"genre_scores_gemma":[0.9987696,0.0001923327,0.0001212225,0.0002059163,0.0002020734,0.00002141719,0.00001876343,0.000005489694,0.0004632207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8472258,"threshold_uncertainty_score":0.2927368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008908599047618454,"score_gpt":0.2637427554002021,"score_spread":0.2548341563525837,"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."}}