{"id":"W2952334241","doi":"10.1089/scd.2018.0196","title":"<i>BCR-Abl</i> Silencing by siRNA: A Potent Approach to Sensitize Chronic Myeloid Leukemia Cells to Tyrosine Kinase Inhibitor Therapy","year":2018,"lang":"en","type":"article","venue":"Stem Cells and Development","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"K562 cells; Myeloid leukemia; Biology; Cancer research; Tyrosine kinase; Gene silencing; Imatinib; Small interfering RNA; ABL; Chronic myelogenous leukemia; Jurkat cells; Leukemia; Tyrosine-kinase inhibitor; Pharmacology; Immunology; Transfection; Cell culture; Cell biology; Cancer; Signal transduction; Immune system; T cell; Gene; Biochemistry","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":[0.0001673266,0.000379539,0.0002690502,0.0001483588,0.0001274001,0.0002945511,0.00016694,0.0003594932,0.0007162761],"category_scores_gemma":[0.00007611271,0.0001185351,0.0002406059,0.0001051685,0.0001741039,0.0001742284,0.0001841387,0.0003928152,0.0003495524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002129732,"about_ca_system_score_gemma":0.0001305322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002592672,"about_ca_topic_score_gemma":0.0003850349,"domain_scores_codex":[0.9998883,0.00001893059,0.00001258273,0.0000310732,0.00002648798,0.00002258768],"domain_scores_gemma":[0.9999659,0.000006493495,0.00001154506,0.000005207574,0.000006018735,0.000004820561],"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":[0.00001330821,0.000008799897,0.00002979293,0.00003046511,0.000001766222,0.00001700817,0.000006924946,0.0000387566,0.9986432,0.0001019329,0.00003843406,0.001069585],"study_design_scores_gemma":[0.000004920391,0.0001037074,0.0003548892,0.000002184043,0.000005491507,0.0001089857,0.000004331138,0.0003640415,0.9966808,0.00002443403,0.002343661,0.000002547106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451472,0.00733972,0.03789501,0.000576718,0.0001343878,0.000232192,0.0004463934,0.0004966201,0.007731741],"genre_scores_gemma":[0.9780888,0.00372533,0.01329956,0.0001810615,0.00002778417,0.0001465518,0.0003032054,0.00004423963,0.004183379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007162761,"threshold_uncertainty_score":0.002396166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156116221053003,"score_gpt":0.226286041159996,"score_spread":0.2106744190546957,"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."}}