{"id":"W2995763290","doi":"10.3892/ijo.2019.4943","title":"FLI1 promotes protein translation via the transcriptional regulation of MKNK1 expression","year":2019,"lang":"en","type":"article","venue":"International Journal of Oncology","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Biology; EIF4EBP1; Cancer research; Gene silencing; MAPK/ERK pathway; Small hairpin RNA; Oncogene; EIF4E; Transcription factor; Cell biology; Molecular biology; Cell cycle; Kinase; Translation (biology); Cancer; Cell culture; Messenger RNA; Genetics; Gene knockdown; Gene","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":[0.0001268945,0.0003926625,0.0002465824,0.0002719134,0.0001555734,0.0002594309,0.000137042,0.0001632715,0.001112166],"category_scores_gemma":[0.00009821407,0.0001230609,0.0002420477,0.0001575118,0.000208327,0.0002018544,0.0002181062,0.0005983687,0.0003370355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005883776,"about_ca_system_score_gemma":0.000224371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004947511,"about_ca_topic_score_gemma":0.0009255308,"domain_scores_codex":[0.9998926,0.00001043022,0.000008511324,0.00002857604,0.00002872969,0.00003118284],"domain_scores_gemma":[0.9999388,0.000009017368,0.00002635361,0.000003657062,0.000008879582,0.00001327403],"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":[0.00009318935,0.00001926788,0.0001317966,0.00006763467,0.000003210778,0.00001886651,0.0000125122,0.0000706487,0.9977348,0.0001152925,0.00008691241,0.00164584],"study_design_scores_gemma":[0.00001574547,0.0001329589,0.003252164,0.000006825148,0.00001414531,0.00009267495,0.00001393781,0.0009384185,0.9914678,0.00005931842,0.004001453,0.000004532692],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766455,0.009678509,0.007202286,0.000405237,0.00008803318,0.00005349523,0.001008834,0.0003596986,0.00455852],"genre_scores_gemma":[0.9913772,0.00253373,0.002719259,0.00009667324,0.00002533573,0.00003797595,0.0007658215,0.00002954825,0.002414428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001112166,"threshold_uncertainty_score":0.004268944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606540970138527,"score_gpt":0.3005285386873513,"score_spread":0.284463128985966,"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."}}