{"id":"W2338589459","doi":"10.1038/srep24607","title":"A somatic reference standard for cancer genome sequencing","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"Stand Up To Cancer; European Bioinformatics Institute; Entertainment Industry Foundation; Melanoma Research Alliance; National Institute of Standards and Technology; American Association for Cancer Research","keywords":"Biology; Computational biology; Cancer genome sequencing; Genetics; Genome; Somatic cell; DNA sequencing; Point mutation; Whole genome sequencing; Mutation; Germline 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":[0.01547707,0.0009180567,0.001258088,0.006251145,0.001664921,0.00264717,0.00303235,0.003202231,0.008098827],"category_scores_gemma":[0.02715375,0.0006967105,0.0009538075,0.005260266,0.0009820941,0.001228105,0.002163034,0.002712522,0.007669485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455641,"about_ca_system_score_gemma":0.002630801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396835,"about_ca_topic_score_gemma":0.002721951,"domain_scores_codex":[0.9866098,0.003420451,0.001384255,0.002625762,0.005517667,0.0004419879],"domain_scores_gemma":[0.9829722,0.002716469,0.001086696,0.006013746,0.006784577,0.0004263307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001062886,0.0003816184,0.01990278,0.001425392,0.0003352817,0.001078216,0.001347145,0.007081294,0.4119844,0.05537567,0.08605005,0.4139752],"study_design_scores_gemma":[0.0002065348,0.0008759507,0.027526,0.0007918621,0.0004193417,0.004443601,0.0003937984,0.02289515,0.4226609,0.02560893,0.4939991,0.0001788707],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05208977,0.003551299,0.8746278,0.001902776,0.002217576,0.0007715114,0.02301294,0.01185958,0.02996669],"genre_scores_gemma":[0.1013613,0.001439305,0.8192983,0.001766094,0.0003898529,0.002376189,0.05490815,0.002737077,0.01572367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01547707,"threshold_uncertainty_score":0.0818516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273334925674964,"score_gpt":0.2765527834884001,"score_spread":0.2538194342316504,"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."}}