{"id":"W4385957496","doi":"10.1039/d3nr03231k","title":"Nanogels designed for cell-free nucleic acid sequestration","year":2023,"lang":"en","type":"article","venue":"Nanoscale","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Nanogel; Chemistry; Chitosan; Cationic polymerization; Nucleic acid; Biocompatibility; Nanoparticle; Biophysics; Wound healing; Adsorption; Nanotechnology; Materials science; Drug delivery; Polymer chemistry; Biochemistry; Organic chemistry","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":[0.0001372623,0.0003390174,0.0001922997,0.0001761727,0.0001025984,0.0002300351,0.0002060127,0.0004601438,0.0008092715],"category_scores_gemma":[0.0001991668,0.0001507562,0.0001930638,0.00009267406,0.0001987542,0.0003048329,0.0001936678,0.0004116621,0.0003045906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261639,"about_ca_system_score_gemma":0.0002663166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003939284,"about_ca_topic_score_gemma":0.0006613104,"domain_scores_codex":[0.9999217,0.000008931202,0.000007831512,0.00002221136,0.00002397254,0.00001535033],"domain_scores_gemma":[0.9998945,0.00002615449,0.00003182211,0.00000550801,0.00002719233,0.00001487265],"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":[0.00001413526,0.000005740759,0.00001848684,0.00006362922,0.00000330647,0.00001651188,0.000009492735,0.0001251802,0.9982122,0.0001535726,0.00004770851,0.001329967],"study_design_scores_gemma":[0.00001160349,0.00007858155,0.000156606,0.000009273835,0.000009553265,0.00006489662,0.000007316755,0.0004984474,0.9943954,0.00007477117,0.004686816,0.000006740311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8981854,0.009721693,0.08355936,0.0005448728,0.0004448876,0.0003396213,0.0006026233,0.0005282614,0.006073344],"genre_scores_gemma":[0.9332504,0.003936855,0.05326011,0.00059786,0.0000402191,0.0004399544,0.0004834697,0.0001170888,0.007873939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008092715,"threshold_uncertainty_score":0.002707303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813255482147755,"score_gpt":0.2585197400264594,"score_spread":0.2403871852049818,"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."}}