{"id":"W4287832762","doi":"10.3390/md20080476","title":"Impact of Degree of Ionization and PEGylation on the Stability of Nanoparticles of Chitosan Derivatives at Physiological Conditions","year":2022,"lang":"en","type":"article","venue":"Marine Drugs","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Nanocarriers; Chitosan; PEGylation; HeLa; Chemistry; Small interfering RNA; Nanoparticle; Biophysics; Gene knockdown; Ionic strength; Nanotechnology; Transfection; Materials science; Biochemistry; Polyethylene glycol; Organic chemistry; Cell; Apoptosis; Biology","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":[0.00006288494,0.00004582964,0.00009437961,0.00001611304,0.00003783778,8.281447e-7,0.0000610542,0.00001819338,0.0001213989],"category_scores_gemma":[0.00005726096,0.00003143039,0.00005110761,0.00006149695,0.0001285521,0.000002014591,0.000170345,0.00002431347,5.612383e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004066173,"about_ca_system_score_gemma":0.00001883321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005458825,"about_ca_topic_score_gemma":0.000005779432,"domain_scores_codex":[0.9995645,0.00008165956,0.0001554531,0.00008692061,0.00006734339,0.00004407594],"domain_scores_gemma":[0.9996496,0.00003015749,0.0001391087,0.0001344632,0.00003713741,0.000009478592],"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":[0.0001392448,0.0001071041,0.09759586,0.000011073,0.000027604,2.338032e-8,0.0001836592,0.0002345408,0.9012106,0.000111817,0.00002018883,0.0003582956],"study_design_scores_gemma":[0.00009184292,0.0005570929,0.4040882,0.000002058001,0.000004719891,2.676973e-7,0.0002023488,0.00007563249,0.5948647,0.00009397566,0.000001095456,0.00001808362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994717,0.00002295134,0.000008771708,0.00003312308,0.000008813868,0.00008434866,0.00008784368,0.000001016337,0.000281496],"genre_scores_gemma":[0.9998159,0.00001964432,0.00001567128,0.000007484914,0.000005832369,0.000006929523,0.0001206473,0.000002327828,0.000005497009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3064924,"threshold_uncertainty_score":0.1329232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727789929822745,"score_gpt":0.2697602650586082,"score_spread":0.2424823657603808,"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."}}