{"id":"W4318065812","doi":"10.3390/pharmaceutics15020410","title":"Safe and Effective Delivery of mRNA Using Modified PEI-Based Lipopolymers","year":2023,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"School of Medicine, Shanghai Jiao Tong University; National Natural Science Foundation of China; Shanghai Jiao Tong University; Natural Science Foundation of Shanghai","keywords":"Systemic administration; Gene delivery; Pharmacology; Transfection; Genetic enhancement; In vivo; Biocompatibility; Immune system; Messenger RNA; Nucleic acid; In vitro; Drug delivery; Chemistry; Biology; Immunology; Gene; 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":[0.0001276949,0.0001212398,0.0001266509,0.0000775875,0.00005268168,0.000009548084,0.00009987578,0.00008204307,0.00001142741],"category_scores_gemma":[0.00002232038,0.0001230558,0.00006532237,0.0001322215,0.00009723187,0.000003671319,0.00008745145,0.00007149126,0.000007651324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007842507,"about_ca_system_score_gemma":0.00005316597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003017706,"about_ca_topic_score_gemma":0.000003474623,"domain_scores_codex":[0.9993006,0.00005179405,0.0001449897,0.0002121779,0.00009632092,0.0001941393],"domain_scores_gemma":[0.9996118,0.00002929857,0.00006361822,0.0001512136,0.00007406435,0.00007002567],"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":[0.000173974,0.00002578407,0.002218217,0.00005130588,0.00007669475,0.00000498196,0.00005059883,0.002296651,0.9858482,0.000006052408,0.0003232862,0.008924266],"study_design_scores_gemma":[0.0006662208,0.0001330787,0.0005901643,0.00002042399,0.00006007039,0.000003960731,0.0000865908,0.03266866,0.9642075,0.0000172569,0.001403036,0.0001430045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977508,0.0008979694,0.0005466315,0.00003979728,0.0001748548,0.0001560451,0.00003506055,0.00001457477,0.0003842996],"genre_scores_gemma":[0.9986991,0.0006116665,0.0001794835,0.0002590404,0.00008550129,0.000007777541,0.00004224278,0.00001654692,0.00009866974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03037201,"threshold_uncertainty_score":0.5018069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04458766688131691,"score_gpt":0.3361241895265136,"score_spread":0.2915365226451967,"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."}}