{"id":"W2999027176","doi":"10.1038/s41588-019-0566-9","title":"Transcription phenotypes of pancreatic cancer are driven by genomic events during tumor evolution","year":2020,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":689,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Canada's Michael Smith Genome Sciences Centre; University of British Columbia; Pancreas Centre (Canada); Vancouver General Hospital; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto; University Health Network; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Biology; Transcriptome; KRAS; Pancreatic cancer; Genetics; Genome instability; Genetic heterogeneity; Chromothripsis; Phenotype; Genome; Gene; Tumor progression; Comparative genomic hybridization; Chromosome instability; Computational biology; Cancer; Mutation; Gene expression; DNA; Chromosome","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":[0.00006740043,0.0001257036,0.0004015034,0.00004950856,0.00005201394,0.000003020548,0.000105093,0.0002161233,0.0001484076],"category_scores_gemma":[0.00008458952,0.0001122449,0.00007422656,0.0001720476,0.00006005014,0.00002178079,0.0000243903,0.0004325427,0.00001512776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802729,"about_ca_system_score_gemma":0.0001930214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002863214,"about_ca_topic_score_gemma":0.00001737465,"domain_scores_codex":[0.9989191,0.000050997,0.0002448929,0.0002299763,0.0003065045,0.0002485644],"domain_scores_gemma":[0.9994066,0.00002335118,0.0001136575,0.0001544758,0.0001292329,0.0001726604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003204813,0.00006393776,0.6732329,0.0003572932,0.0001264237,0.000008119871,0.0003169611,0.0000378251,0.3245887,0.000006619018,0.0007662775,0.0001745389],"study_design_scores_gemma":[0.001834125,0.0002766868,0.9754348,0.0001465629,0.0004308704,0.000009978946,0.0001421933,0.002311372,0.01865373,0.00005257487,0.0005979895,0.0001091442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843342,0.01337822,0.0002268088,0.001236471,0.00009982408,0.0004278444,0.00007585594,0.00002642728,0.0001943473],"genre_scores_gemma":[0.9970379,0.001015933,0.0009901534,0.000358268,0.0002787418,0.00002478902,0.00002733362,0.00002261707,0.0002442649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3059349,"threshold_uncertainty_score":0.4577216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687609019782679,"score_gpt":0.3000861783805061,"score_spread":0.2832100881826793,"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."}}