{"id":"W2587686129","doi":"10.1038/nature21356","title":"Extrachromosomal oncogene amplification drives tumour evolution and genetic heterogeneity","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":898,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Cancer Institute","keywords":"Extrachromosomal DNA; Biology; Metaphase; Oncogene; Genetics; Genome; Gene; Cancer; Human genetics; Chromosome; Human genome; Computational biology; Cell cycle","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":[0.0003176359,0.0001517385,0.0002242341,0.0006729718,0.0002324664,0.0008597784,0.0003579291,0.0005026598,0.001658511],"category_scores_gemma":[0.0005672348,0.0002586867,0.0001669456,0.0004463787,0.0004570738,0.0006115157,0.0008683868,0.0008459673,0.0004755346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00044215,"about_ca_system_score_gemma":0.0001817202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000491659,"about_ca_topic_score_gemma":0.0009851622,"domain_scores_codex":[0.999725,0.00003328774,0.00001682705,0.00007220463,0.00008642191,0.00006624447],"domain_scores_gemma":[0.9996244,0.0001244022,0.00007534328,0.00007369213,0.00004113395,0.0000610607],"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":[0.000143856,0.0000333204,0.01635628,0.00002710402,0.00002420475,0.000494133,0.0001379815,0.0005160922,0.9676657,0.003064049,0.0001305095,0.01140673],"study_design_scores_gemma":[0.00005031232,0.0005105223,0.387035,0.00002633879,0.0001446312,0.009786379,0.0008057682,0.01251802,0.558261,0.006330288,0.02446747,0.00006425556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935943,0.0006007603,0.002090622,0.0001417322,0.00001218536,0.000008208885,0.00010914,0.00006176873,0.003381272],"genre_scores_gemma":[0.9971046,0.0003495101,0.0004916901,0.00005093847,0.00001009654,0.000005135868,0.0001495213,0.00004170065,0.001796846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001658511,"threshold_uncertainty_score":0.005548239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007957037014134033,"score_gpt":0.2682529062328649,"score_spread":0.2602958692187309,"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."}}