{"id":"W4210407991","doi":"10.1016/j.molcel.2022.01.003","title":"ecDNAs personify cancer gangsters","year":2022,"lang":"en","type":"letter","venue":"Molecular Cell","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"Canadian Institutes of Health Research","keywords":"Biology; Oncogene; Carcinogenesis; Extrachromosomal DNA; Transcription (linguistics); Genetics; Gene; Cancer; Cancer research; Cell cycle","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007837994,0.0004248208,0.0002958263,0.00008754515,0.0001210113,0.00006962481,0.0005484247,0.0006264199,0.0009679523],"category_scores_gemma":[0.0000231865,0.0004968884,0.0003642738,0.00009552051,0.00007080453,0.000001193786,0.0004106835,0.0008996109,0.00004420674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001426105,"about_ca_system_score_gemma":0.0003890674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002524542,"about_ca_topic_score_gemma":0.00002740441,"domain_scores_codex":[0.9979857,0.00008283504,0.0002403302,0.0008135221,0.0003340284,0.0005435684],"domain_scores_gemma":[0.9988481,0.00001557298,0.000172872,0.0008081755,0.00006815432,0.00008716765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000223973,0.00002338782,0.00003530576,0.00009107681,0.00009312775,0.0006129551,0.00003243181,0.0002575617,0.06147935,0.000003841696,0.936959,0.0003896034],"study_design_scores_gemma":[0.0003770421,0.0002038871,0.000004491911,0.00001049669,0.0001132496,0.0000124161,0.00002411474,0.00001076973,0.05392378,0.00002083878,0.9447193,0.0005796386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.07264712,0.07908732,0.00155586,0.7281725,0.008587665,0.002439233,0.004161611,0.0001458145,0.1032028],"genre_scores_gemma":[0.01075093,0.002308379,0.0002997816,0.9574213,0.003565329,0.0003425606,0.004394869,0.000290299,0.02062652],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2292488,"threshold_uncertainty_score":0.9999453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006818385115012445,"score_gpt":0.2181749025159427,"score_spread":0.2113565174009303,"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."}}