{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001910686,0.000197934,0.0001975744,0.0003631536,0.0001966492,0.0005822179,0.0001759822,0.0002797814,0.001746907],"category_scores_gemma":[0.000341504,0.0002249674,0.0002244943,0.000320757,0.0003567273,0.0002595776,0.0005410023,0.0006905526,0.0004156909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004019567,"about_ca_system_score_gemma":0.000171824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007718207,"about_ca_topic_score_gemma":0.001567558,"domain_scores_codex":[0.9998011,0.00003482581,0.00001006487,0.00006112406,0.00004254432,0.00005036903],"domain_scores_gemma":[0.9997848,0.00006446371,0.00005583121,0.00003227927,0.00002191168,0.00004083449],"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":[0.0002856717,0.00001094451,0.01088635,0.00002661754,0.00001188149,0.0001755128,0.0001026757,0.000373082,0.9833323,0.0008944734,0.0001496622,0.003750868],"study_design_scores_gemma":[0.00004040173,0.0002168268,0.4736691,0.00002882734,0.00005031013,0.001743217,0.000644195,0.004873728,0.5076419,0.002220499,0.008831158,0.00003992117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901764,0.0008006523,0.004567303,0.0003041203,0.00002726802,0.000009053882,0.0007424958,0.0001134574,0.003259278],"genre_scores_gemma":[0.9967404,0.0003585376,0.0007823463,0.0001062906,0.00001242257,0.000009180644,0.0005735311,0.00006341505,0.001353819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001746907,"threshold_uncertainty_score":0.005843937,"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."}}