{"id":"W2112441848","doi":"10.1016/j.eururo.2014.03.028","title":"Next-generation Sequencing of Urologic Cancers: Next Is Now","year":2014,"lang":"en","type":"article","venue":"European Urology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Medicine; Exome sequencing; DNA sequencing; Exome; Prostate cancer; Genome; Computational biology; Bioinformatics; Gene; Internal medicine; Mutation; Cancer; Genetics; Biology","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":[0.0003484875,0.0001572451,0.0002907316,0.00009909354,0.00004414277,0.00001079781,0.0001063681,0.00005851607,0.000322197],"category_scores_gemma":[0.0001032614,0.0001292086,0.00008953986,0.0001035246,0.0001042124,0.0000755841,0.00005271773,0.0001588405,0.0004437025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118221,"about_ca_system_score_gemma":0.00007535992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006299136,"about_ca_topic_score_gemma":0.00002106136,"domain_scores_codex":[0.998589,0.0003859591,0.0002985282,0.0003334226,0.0001428405,0.0002501947],"domain_scores_gemma":[0.9991912,0.00006463882,0.000143276,0.0004145619,0.00008278758,0.0001035767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003766541,0.0001101229,0.01960404,0.00008559163,0.0001833432,0.0004698527,0.001275862,0.0008835847,0.9424809,0.0007059448,0.009531313,0.02429275],"study_design_scores_gemma":[0.01234246,0.03006934,0.2126026,0.00008746725,0.001880922,0.002340577,0.0003048386,0.07113653,0.2580467,0.0005979139,0.4092246,0.001366122],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940145,0.0006905222,0.0006832817,0.001419132,0.0002246303,0.0001821067,0.000002203339,0.00005362608,0.05659951],"genre_scores_gemma":[0.9925154,0.00007242314,0.0007852856,0.005393611,0.0005118289,0.000004649931,0.00002781978,0.00003504184,0.0006538869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6844343,"threshold_uncertainty_score":0.5703046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09248761131502344,"score_gpt":0.2618621397794102,"score_spread":0.1693745284643868,"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."}}