{"id":"W2404441982","doi":"10.1016/j.molonc.2016.05.001","title":"Mifepristone increases mRNA translation rate, triggers the unfolded protein response, increases autophagic flux, and kills ovarian cancer cells in combination with proteasome or lysosome inhibitors","year":2016,"lang":"en","type":"article","venue":"Molecular Oncology","topic":"Endoplasmic Reticulum Stress and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Research Resources; National Heart, Lung, and Blood Institute; McGill University; Faculty of Medicine, McGill University; Takeda Oncology; National Cancer Institute; National Institutes of Health; Badan Riset dan Inovasi Nasional","keywords":"Unfolded protein response; XBP1; Mifepristone; Biology; Proteasome; Endoplasmic reticulum; Proteasome inhibitor; ATF6; Cell biology; Autophagy; Cancer research; Ovarian cancer; Apoptosis; RNA splicing; Biochemistry; Cancer; 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":[0.0004943705,0.0002722164,0.0003059619,0.0001280861,0.0001062908,0.00003101063,0.0001736074,0.0002368152,0.00004947971],"category_scores_gemma":[0.0002862508,0.0001553179,0.00006783503,0.0002213897,0.0003349172,0.00001840319,0.00006313696,0.0001113498,0.000003648874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037697,"about_ca_system_score_gemma":0.000577835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005754728,"about_ca_topic_score_gemma":0.0003954715,"domain_scores_codex":[0.9976059,0.0009863804,0.0003503097,0.0005255978,0.0001875812,0.0003442566],"domain_scores_gemma":[0.999046,0.0001641252,0.0001931191,0.0003421931,0.00009381921,0.0001606875],"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":[0.006848694,0.0003809488,0.001458426,0.00003569831,0.00006671752,0.0001911056,0.00005435192,0.00004066392,0.9836258,0.00007488044,0.0001332861,0.007089431],"study_design_scores_gemma":[0.009756396,0.001948844,0.01373744,0.0002013802,0.00009657234,0.0000556407,0.00009029422,0.0000726898,0.9683606,0.0002589989,0.005002825,0.0004183364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949291,0.0009041668,0.0003803503,0.002011207,0.00004916262,0.001534184,0.0000613839,0.0000224805,0.0001079588],"genre_scores_gemma":[0.997777,0.0001844711,0.0004013539,0.0003522991,0.00004721559,0.0007562832,0.00005351878,0.00003612617,0.0003917294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526522,"threshold_uncertainty_score":0.6333678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00768512855938833,"score_gpt":0.2524485332641546,"score_spread":0.2447634047047662,"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."}}