{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001700421,0.0002036946,0.0001652891,0.000139255,0.0001384071,0.0001869787,0.0001246095,0.000241802,0.0007042009],"category_scores_gemma":[0.00008312154,0.0001066508,0.0001370835,0.00007501114,0.0001386907,0.0001457487,0.0001817521,0.0002520045,0.0002523192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002559064,"about_ca_system_score_gemma":0.0002930977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006199305,"about_ca_topic_score_gemma":0.0008221106,"domain_scores_codex":[0.9999387,0.00001055487,0.000004784304,0.00001359718,0.00001987158,0.00001240029],"domain_scores_gemma":[0.9999809,0.00000441295,0.000005309497,0.000001919246,0.000003845309,0.000003559519],"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":[0.00008066506,0.00001355793,0.00003125226,0.00002903856,0.000002330675,0.00003210973,0.00001275831,0.00006665681,0.9971661,0.0001212389,0.00005818181,0.002385919],"study_design_scores_gemma":[0.0000198082,0.0001705997,0.0002541133,0.000002472466,0.00001518674,0.0001376405,0.000005766313,0.0008965454,0.9961061,0.00003537005,0.002353543,0.000002820286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582068,0.004593586,0.03132298,0.0003731164,0.0001078189,0.0001540223,0.0002287572,0.0002633005,0.004749702],"genre_scores_gemma":[0.9869487,0.001390536,0.007400251,0.00008574643,0.00001290419,0.00006039779,0.0001419697,0.00003380614,0.003925733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007042009,"threshold_uncertainty_score":0.002355754,"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."}}