{"id":"W4310088506","doi":"10.1126/sciadv.abn0238","title":"Widespread hypertranscription in aggressive human cancers","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University Health Network; University of Toronto; SickKids Foundation; Hospital for Sick Children; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Human Genome Research Institute","keywords":"Phenotype; Disease; Cancer; Biology; Gene; Gene expression profiling; Human genome; Computational biology; Gene expression; Bioinformatics; Genome; Genetics; Medicine; Internal medicine","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":[0.0003893917,0.0001952386,0.0004176829,0.0008032725,0.0002421613,0.000664063,0.0001656948,0.0002352845,0.0006934822],"category_scores_gemma":[0.000850569,0.0001913472,0.0002413444,0.001088708,0.0004199891,0.0002580556,0.0003721414,0.0003307109,0.000234602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003855588,"about_ca_system_score_gemma":0.000252237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009574773,"about_ca_topic_score_gemma":0.001587743,"domain_scores_codex":[0.9995899,0.00007415452,0.00002659517,0.0001557685,0.0001271954,0.00002651705],"domain_scores_gemma":[0.9995522,0.0001431047,0.0001814848,0.00005245898,0.00003574404,0.00003504998],"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":[0.0004862601,0.00005790982,0.2562754,0.0003920608,0.0001822153,0.0004622403,0.0003356369,0.01380603,0.665563,0.002030689,0.0006911923,0.05971735],"study_design_scores_gemma":[0.00002324339,0.0002949667,0.7178989,0.00004525149,0.0002039597,0.002385262,0.0002656166,0.03335574,0.2275674,0.007602659,0.01029497,0.00006206678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607532,0.00390119,0.03129728,0.00008974866,0.00001486395,0.00004553024,0.00184517,0.0004258965,0.001627093],"genre_scores_gemma":[0.9872966,0.0009766999,0.01002094,0.00004614233,0.0000112108,0.00003612122,0.001179442,0.00003715261,0.0003957129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009574773,"threshold_uncertainty_score":0.002797365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009518632352277344,"score_gpt":0.2785956896219668,"score_spread":0.2690770572696895,"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."}}