{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001991187,0.0001375221,0.0001385862,0.00006919807,0.00006765642,0.00002606315,0.0007243925,0.0003933496,0.0000413174],"category_scores_gemma":[0.00003565646,0.0001453107,0.00007563603,0.0002056201,0.00007531478,0.00001342726,0.0001037138,0.0004890633,0.000020009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004248628,"about_ca_system_score_gemma":0.0001422184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003955154,"about_ca_topic_score_gemma":0.000811582,"domain_scores_codex":[0.9989877,0.0001517895,0.0002270119,0.0002976275,0.0001302245,0.000205651],"domain_scores_gemma":[0.9979979,0.00003331155,0.00007955035,0.001742098,0.00008350256,0.00006363928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009552488,0.0005906229,0.5601682,0.00003158558,0.00009170254,0.00000356955,0.0004081624,0.00008495233,0.4277185,0.00060727,0.0008032315,0.009396694],"study_design_scores_gemma":[0.003236618,0.001894666,0.7256528,0.0001368349,0.0001924885,0.0001260711,0.000396188,0.003625304,0.04753352,0.0005728098,0.2153223,0.00131038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803881,0.01620968,0.0000250623,0.000524879,0.0001576307,0.0006216284,0.00002371012,0.00004154947,0.002007737],"genre_scores_gemma":[0.9911551,0.0003930218,0.006772871,0.0001972707,0.00008639387,0.0001361225,0.001097698,0.00002923421,0.0001322168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3801849,"threshold_uncertainty_score":0.5925596,"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."}}