{"id":"W2040885133","doi":"10.1038/nrd4505","title":"Targeting the translation machinery in cancer","year":2015,"lang":"en","type":"review","venue":"Nature Reviews Drug Discovery","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":811,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; McGill University; Occupational Cancer Research Centre; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Howard Hughes Medical Institute","keywords":"Translation (biology); Computational biology; Cancer; Eukaryotic translation; EIF4E; Cancer research; Suppressor; Bioinformatics; Biology; Medicine; Computer science; Messenger RNA; Gene; Genetics","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":[0.0007849595,0.001089422,0.001671119,0.001941656,0.0002911621,0.001194448,0.001186126,0.001410272,0.002908672],"category_scores_gemma":[0.0008221658,0.000430816,0.0004444922,0.00188589,0.0009459119,0.001619966,0.001033044,0.002710104,0.002214903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009358886,"about_ca_system_score_gemma":0.001083208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018828,"about_ca_topic_score_gemma":0.002741701,"domain_scores_codex":[0.9997864,0.00003195673,0.00002265765,0.00003126174,0.00009509896,0.00003258056],"domain_scores_gemma":[0.9996859,0.0001418376,0.0000456026,0.00001134936,0.00007246566,0.00004285606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000108625,0.00007094329,0.0001158637,0.01018394,0.00008049623,0.0002103069,0.00003247426,0.0007772646,0.004142165,0.00727705,0.05591997,0.9210809],"study_design_scores_gemma":[0.00003348514,0.00006065724,0.0003240615,0.001482074,0.00009282686,0.0006281899,0.00002137389,0.0001947562,0.0008991654,0.00394938,0.9922949,0.00001907236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005814992,0.998566,0.0002150812,0.0003266212,0.0002457972,0.000003480272,0.00001211881,0.000009948732,0.0005628883],"genre_scores_gemma":[0.0006200882,0.9981341,0.0001902202,0.00028847,0.0002071022,0.000004412393,0.00002174148,0.000001523507,0.0005323926],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002908672,"threshold_uncertainty_score":0.009730518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03711250093249339,"score_gpt":0.3514428961511721,"score_spread":0.3143303952186787,"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."}}