{"id":"W4415299365","doi":"10.1016/j.actbio.2025.10.030","title":"Design and evaluation of cationic bottlebrush polymers for advanced messenger RNA therapeutics","year":2025,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; University of Ottawa; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada Research Chairs; Canada First Research Excellence Fund; Institut TransMedTech; Natural Sciences and Engineering Research Council of Canada","keywords":"Messenger RNA; In vivo; Cationic polymerization; Transfection; Nucleic acid; Polymer; In vitro; RNA; Nanoparticle","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007233619,0.0005238606,0.0002651072,0.0003052942,0.0002203012,0.0006157684,0.0003963335,0.0005839886,0.00106452],"category_scores_gemma":[0.000796251,0.0002353399,0.0003490753,0.0002155082,0.0002612361,0.0004460391,0.0003227748,0.0004668508,0.0003908996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004348342,"about_ca_system_score_gemma":0.0004574105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002298812,"about_ca_topic_score_gemma":0.0002841785,"domain_scores_codex":[0.999643,0.00006912632,0.00002704868,0.00006188163,0.0001427982,0.00005623666],"domain_scores_gemma":[0.9996704,0.00006651781,0.0001098065,0.00002384637,0.00006622184,0.00006322109],"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":[0.0002558231,0.00009953552,0.0001488038,0.0001972806,0.00001188415,0.00008462492,0.00003825852,0.001037771,0.9868093,0.000577296,0.00008974568,0.01064964],"study_design_scores_gemma":[0.00003875495,0.001193262,0.0003269789,0.000009523647,0.00001711019,0.0001010918,0.00001129364,0.001593289,0.9927979,0.00006175295,0.00383401,0.00001496743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549329,0.004066705,0.03541321,0.0002293663,0.000120078,0.0005876399,0.0002120307,0.0002596722,0.004178338],"genre_scores_gemma":[0.9489936,0.00264376,0.04193754,0.000113944,0.00002982509,0.0003970467,0.0002790375,0.00008277552,0.005522369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00106452,"threshold_uncertainty_score":0.003825545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02843177218026339,"score_gpt":0.3215146756549432,"score_spread":0.2930829034746799,"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."}}