{"id":"W2946682034","doi":"10.1007/s00277-019-03713-y","title":"Lipid nanoparticle-mediated siRNA delivery for safe targeting of human CML in vivo","year":2019,"lang":"en","type":"article","venue":"Annals of Hematology","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"Precision Nanosystems (Canada); University of British Columbia; BC Cancer Agency","funders":"Horizon 2020; Deutsche Krebshilfe; Deutsches Krebsforschungszentrum","keywords":"In vivo; Myeloid leukemia; Oncogene; Leukemia; Cancer research; Small interfering RNA; RNA interference; Cationic liposome; Haematopoiesis; Chemistry; Medicine; Transfection; Biology; Immunology; Stem cell; RNA; Apoptosis; Cell biology; Biochemistry; Biotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001912378,0.000113113,0.0003327231,0.00007868093,0.00001761823,0.000002478718,0.0001860012,0.0001621018,0.00006724295],"category_scores_gemma":[0.0001123913,0.0001114087,0.0001169522,0.00006925721,0.00007034688,0.000005689461,0.00007442161,0.00004769539,0.00001022197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001619669,"about_ca_system_score_gemma":0.00004093174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004769292,"about_ca_topic_score_gemma":0.00004506739,"domain_scores_codex":[0.998935,0.00004711278,0.0004470215,0.0002396,0.00006473459,0.0002665611],"domain_scores_gemma":[0.9993333,0.00005164314,0.0001922682,0.0002282067,0.000157881,0.00003673093],"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":[0.0001949331,0.00009909423,0.02341468,0.00009949003,0.00004363419,0.00000160699,0.00006095097,0.00003208005,0.9722167,0.0003121,0.003412191,0.0001125824],"study_design_scores_gemma":[0.0005480864,0.0008390897,0.0006674098,0.00004019789,0.000005693651,0.000005112369,0.0001304129,0.00008371677,0.9958692,0.0001434467,0.001554318,0.0001133436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998059,0.0008933915,0.00002281056,0.0001946766,0.0001020617,0.0001986655,0.00003016392,0.00000381266,0.0004954229],"genre_scores_gemma":[0.9991945,0.0001559994,0.0001196564,0.0002935201,0.00003513968,0.0000150383,0.00005636407,0.00001233175,0.0001174393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02365252,"threshold_uncertainty_score":0.4543113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600390939506404,"score_gpt":0.3003727309745143,"score_spread":0.2743688215794503,"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."}}