{"id":"W2598458092","doi":"10.1182/blood.v126.23.1261.1261","title":"Effective Treatment of Human CML By RNAi In Vivo in a Xenotransplantation Mouse Model","year":2015,"lang":"en","type":"article","venue":"Blood","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Precision Nanosystems (Canada)","funders":"","keywords":"In vivo; Small interfering RNA; Xenotransplantation; K562 cells; Transplantation; Transfection; RNA interference; Chemistry; Ex vivo; Cancer research; Medicine; Pharmacology; Leukemia; Immunology; Biology; RNA; 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":[0.0004408172,0.0008827792,0.0005006791,0.0006738639,0.0002176965,0.0003947402,0.0004043334,0.0006179007,0.001816598],"category_scores_gemma":[0.0001017967,0.0002317609,0.0005530854,0.0002558088,0.0003353599,0.0004198008,0.0002376185,0.001109403,0.0006047849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003603921,"about_ca_system_score_gemma":0.000326821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005845635,"about_ca_topic_score_gemma":0.000601285,"domain_scores_codex":[0.9997336,0.00002895152,0.00003201621,0.00007612167,0.00008271704,0.00004646479],"domain_scores_gemma":[0.9998598,0.0000163837,0.00005740418,0.00002153589,0.00001575586,0.00002906152],"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":[0.0001533475,0.0001478059,0.00006845058,0.00004980802,0.000007295645,0.00005761325,0.00001603767,0.0000971566,0.9979545,0.00011856,0.00008595736,0.001243494],"study_design_scores_gemma":[0.00002562077,0.00091386,0.000521341,0.000007418358,0.00002163136,0.0001654167,0.00001237141,0.0009127295,0.995565,0.00004322085,0.001806723,0.000004758828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630305,0.003941797,0.02452726,0.0003913649,0.0002604033,0.0005480997,0.002228171,0.0007916766,0.00428078],"genre_scores_gemma":[0.9718819,0.00250639,0.01480614,0.0002084189,0.00004010075,0.0005862096,0.001597059,0.0001143405,0.008259481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001816598,"threshold_uncertainty_score":0.006077111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425194225839652,"score_gpt":0.2621744784885009,"score_spread":0.2479225362301044,"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."}}