{"id":"W2004516600","doi":"10.1038/bjc.2014.164","title":"Small molecule MIRA-1 induces in vitro and in vivo anti-myeloma activity and synergizes with current anti-myeloma agents","year":2014,"lang":"en","type":"article","venue":"British Journal of Cancer","topic":"Signaling Pathways in Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Toronto General Hospital","funders":"Ministry of Science and Technology of the People's Republic of China; Leukemia and Lymphoma Society","keywords":"Downregulation and upregulation; Apoptosis; Puma; Cancer research; Multiple myeloma; In vivo; Gene knockdown; Unfolded protein response; XBP1; Bortezomib; Endoplasmic reticulum; Dexamethasone; Doxorubicin; Biology; Medicine; Immunology; Chemotherapy; Internal medicine; Cell biology; RNA splicing; Biochemistry","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":[0.0003055752,0.0004973977,0.0005083425,0.0005070947,0.0001644444,0.0003634731,0.0003170578,0.0004367541,0.002308614],"category_scores_gemma":[0.0002487328,0.0002044346,0.0004343929,0.0002176328,0.0002588945,0.0002370788,0.0001776772,0.00113032,0.0007855428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002784989,"about_ca_system_score_gemma":0.0002642981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002232564,"about_ca_topic_score_gemma":0.0005291235,"domain_scores_codex":[0.9997823,0.00005025868,0.00001794094,0.00003115265,0.0000722554,0.00004607547],"domain_scores_gemma":[0.9998177,0.00004844549,0.00004400542,0.00002456002,0.00001889115,0.00004652484],"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":[0.0008920172,0.0008273672,0.0002280487,0.0001567796,0.0000406926,0.00005583709,0.00002013539,0.0002039528,0.9899784,0.000112565,0.0003654115,0.007118741],"study_design_scores_gemma":[0.0002291575,0.007491662,0.004272591,0.00001621947,0.00007243043,0.000389312,0.00001931035,0.0008069403,0.9800643,0.00006287509,0.006566475,0.000008779924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797968,0.01130208,0.002690501,0.0003743573,0.0002387405,0.0001350355,0.0008077358,0.0003975006,0.004257262],"genre_scores_gemma":[0.9902799,0.003574101,0.002130623,0.0001467618,0.00006688259,0.0001227553,0.001384782,0.00003207941,0.00226203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002308614,"threshold_uncertainty_score":0.007723033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353256638653497,"score_gpt":0.2594923539217653,"score_spread":0.2459597875352304,"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."}}