{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003374694,0.0005320703,0.0001528959,0.0001952075,0.0001212897,0.0002954155,0.000194508,0.0003300004,0.0007970143],"category_scores_gemma":[0.000792703,0.0001840413,0.0002275787,0.0001577016,0.0002322285,0.0003145975,0.0001985282,0.0003160817,0.0002073557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000357051,"about_ca_system_score_gemma":0.0002829646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523144,"about_ca_topic_score_gemma":0.001115216,"domain_scores_codex":[0.9997564,0.00004350775,0.00002975488,0.00005702592,0.00006556793,0.00004773035],"domain_scores_gemma":[0.9996065,0.000113234,0.0001288934,0.0000208331,0.00008449685,0.00004594097],"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":[0.0001280375,0.000009253477,0.0001798306,0.00004328693,0.00001014726,0.00003584348,0.0000243712,0.0001329437,0.9986317,0.00003078635,0.00001226037,0.0007615413],"study_design_scores_gemma":[0.00000908977,0.0001739822,0.001607494,0.000006101874,0.00002018923,0.00005056589,0.00001524559,0.000627339,0.9970247,0.00001777647,0.0004384489,0.000009106274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958264,0.001217374,0.001616118,0.00006618593,0.00002148292,0.00002763427,0.000125025,0.00002913469,0.001070574],"genre_scores_gemma":[0.9975677,0.0007002637,0.0009472215,0.00003075959,0.000007050358,0.00002274408,0.0001168909,0.00001939373,0.0005880013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001523144,"threshold_uncertainty_score":0.003028572,"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."}}