{"id":"W3000323522","doi":"10.1158/2159-8290.cd-19-1209","title":"Characteristics and Outcome of <i>AKT1</i> E17K-Mutant Breast Cancer Defined through AACR Project GENIE, a Clinicogenomic Registry","year":2020,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute; National Institutes of Health; Cancer Prevention and Research Institute of Texas; American Association for Cancer Research","keywords":"AKT1; Mutant; Cancer; Breast cancer; Outcome (game theory); Medicine; Computational biology; Bioinformatics; Oncology; Biology; Internal medicine; Genetics; Gene; Signal transduction; Mathematics; PI3K/AKT/mTOR pathway","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006927478,0.0002786027,0.0004421611,0.00001958938,0.00006233604,0.00006956632,0.0002483962,0.0001663779,0.00002475186],"category_scores_gemma":[0.00008337326,0.0002676765,0.0001568613,0.0001189797,0.0001887501,0.00001928735,0.0002624659,0.0001398084,0.000002342408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005638425,"about_ca_system_score_gemma":0.0005357824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091008,"about_ca_topic_score_gemma":0.0002835935,"domain_scores_codex":[0.9984071,0.00002769057,0.0005326364,0.0005818303,0.0001335342,0.0003172692],"domain_scores_gemma":[0.9990206,0.00003102786,0.0003513168,0.0003875791,0.00009456433,0.0001149608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00152205,0.0001321329,0.5038178,0.0006326773,0.0003570537,0.00002241625,0.0004725512,0.0001299265,0.4769893,0.000362445,0.01071453,0.004847128],"study_design_scores_gemma":[0.01031672,0.001713343,0.3045003,0.0006424917,0.001536123,0.0001639518,0.00102837,0.0005559999,0.281874,0.0003842099,0.3935042,0.003780303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842429,0.00607215,0.0005062037,0.001391453,0.000471524,0.0003477192,0.00670486,0.00001287803,0.0002502729],"genre_scores_gemma":[0.973458,0.02159219,0.0002144093,0.003201634,0.001036051,0.00007738289,0.0001703116,0.00005650012,0.000193519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3827897,"threshold_uncertainty_score":0.9999775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02842900033929516,"score_gpt":0.2954283535175873,"score_spread":0.2669993531782921,"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."}}