{"id":"W2972522611","doi":"10.1038/s41467-019-12071-2","title":"Cooperation of cancer drivers with regulatory germline variants shapes clinical outcomes","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"FP7 Health; Dr. Rolf M. Schwiete Stiftung; Deutsche Krebshilfe; Ludwig-Maximilians-Universität München; Medizinischen Fakultät, Ludwig-Maximilians-Universität München; China Scholarship Council; Studienstiftung des Deutschen Volkes; Deutsche Forschungsgemeinschaft","keywords":"Germline; Biology; Germline mutation; Transcription factor; Enhancer; Somatic cell; Genetics; Phenotype; Cancer research; Mutation; Gene","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":[0.0003951133,0.000152292,0.000210004,0.0003885131,0.0001179709,0.0005274898,0.0001711769,0.0003031418,0.001029424],"category_scores_gemma":[0.0009172217,0.0001052334,0.0001457359,0.0003448282,0.0002008302,0.0001815474,0.0002946696,0.0003394697,0.0002064861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001707358,"about_ca_system_score_gemma":0.0001662971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000254632,"about_ca_topic_score_gemma":0.0003257509,"domain_scores_codex":[0.9996464,0.00007944309,0.00002288249,0.0001264703,0.00006805225,0.00005673022],"domain_scores_gemma":[0.9992643,0.0001773896,0.0003330169,0.00007781252,0.00003360337,0.0001138515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001209459,0.00008986056,0.8588035,0.00001922106,0.0001345856,0.0007047296,0.0001266356,0.0008763396,0.120522,0.000439627,0.0001904227,0.01688362],"study_design_scores_gemma":[0.00001669011,0.0003513293,0.9779111,0.000006789781,0.0001183157,0.003157179,0.0001391613,0.002064255,0.01454151,0.0007120694,0.0009657398,0.00001590501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998827,0.0001670574,0.0004578048,0.00002731662,0.000002211427,0.000002593031,0.0001405622,0.00002072986,0.0003547448],"genre_scores_gemma":[0.9995677,0.00004724685,0.0001439554,0.000009623767,0.000002256075,0.000002073694,0.0001125251,0.000007231567,0.0001074318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001029424,"threshold_uncertainty_score":0.003443778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391541888928459,"score_gpt":0.3307399774953939,"score_spread":0.3168245586061093,"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."}}