{"id":"W2988312256","doi":"10.1038/s41467-019-13086-5","title":"eIF4A supports an oncogenic translation program in pancreatic ductal adenocarcinoma","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Center for Advancing Translational Sciences; National Institute of General Medical Sciences; National Cancer Institute; Canadian Institutes of Health Research; Montana State University; Pancreatic Cancer Action Network; V Foundation for Cancer Research","keywords":"Pancreatic ductal adenocarcinoma; Translation (biology); Eukaryotic translation; Adenocarcinoma; Pancreatic carcinoma; Computer science; Biology; Cancer research; Medicine; Computational biology; Pancreatic cancer; Cancer; Internal medicine; Genetics; Gene; Messenger RNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001653561,0.0001947517,0.0002140491,0.0002368034,0.0001779709,0.0003524635,0.0001295788,0.0002096105,0.0009195164],"category_scores_gemma":[0.0001348122,0.0001097109,0.0001855993,0.0001632924,0.0001893536,0.0001465405,0.0002155793,0.0004448404,0.0003514642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002770868,"about_ca_system_score_gemma":0.0002658029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003587614,"about_ca_topic_score_gemma":0.0005631832,"domain_scores_codex":[0.9999012,0.00001750841,0.00001243977,0.00001639486,0.00003129235,0.00002118942],"domain_scores_gemma":[0.9999223,0.00001357574,0.00002127015,0.00001130344,0.000008236889,0.00002334418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001625952,0.00002948446,0.0003101383,0.00003809264,0.000003942021,0.00007979434,0.000007210685,0.0001154927,0.9971166,0.0002061871,0.00007645258,0.00185407],"study_design_scores_gemma":[0.00002693059,0.0004942114,0.005798042,0.000008294174,0.00001411189,0.0005398214,0.00003751,0.001151535,0.9845244,0.0001407511,0.007259292,0.000005119927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906819,0.002473402,0.002209749,0.0002562015,0.00006415406,0.00002139084,0.0004213609,0.0001467451,0.003725011],"genre_scores_gemma":[0.9960117,0.0008968559,0.001049503,0.00005283778,0.000008227391,0.0000152778,0.000415651,0.00001666574,0.001533153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009195164,"threshold_uncertainty_score":0.003076077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776623765133145,"score_gpt":0.3231161993462675,"score_spread":0.3053499616949361,"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."}}