{"id":"W4401653289","doi":"10.1002/adma.202403701","title":"Ionizable Drugs Enable Intracellular Delivery of Co‐Formulated siRNA","year":2024,"lang":"en","type":"article","venue":"Advanced Materials","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Amgen","keywords":"Materials science; Intracellular; Drug delivery; Nanotechnology; Biophysics; Biochemistry; Chemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001954384,0.000154365,0.000203159,0.00005387007,0.00003796992,0.00004658241,0.0001617847,0.0001256986,0.00037452],"category_scores_gemma":[0.00002709328,0.0001406582,0.00006641204,0.00008105855,0.00004935923,0.00001777317,0.0000700325,0.00004225482,0.0001094078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001711395,"about_ca_system_score_gemma":0.00007805659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004224229,"about_ca_topic_score_gemma":0.000001871573,"domain_scores_codex":[0.9989936,0.00003182167,0.0003096632,0.0003031287,0.0001260069,0.0002357279],"domain_scores_gemma":[0.9994647,0.00001177189,0.00006533945,0.0002835288,0.0001286129,0.00004605756],"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":[0.0001213413,0.00002287017,0.000005384646,0.0001091855,0.00006322953,0.00001011687,0.00005014666,0.0001990845,0.9948176,0.0001355128,0.002494824,0.001970772],"study_design_scores_gemma":[0.0002076576,0.0002020431,0.000007250047,0.00008582359,0.00001853887,0.000008598571,0.00004833877,0.00002965792,0.9442701,0.0003571582,0.05460773,0.0001571279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994571,0.002871145,0.0002957518,0.00003393365,0.0005593317,0.000152054,0.00009678542,0.00003544121,0.001384562],"genre_scores_gemma":[0.9952925,0.001335047,0.0004724416,0.0001119821,0.0001606296,0.00001778562,0.0002585378,0.00002899162,0.002322121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05211291,"threshold_uncertainty_score":0.5735875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006160289172344085,"score_gpt":0.2466931374581767,"score_spread":0.2405328482858326,"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."}}