{"id":"W2014178660","doi":"10.1002/jbm.b.32661","title":"Formulation and<i>in vitro</i>characterization of PEGylated chitosan and polyethylene imine polymers with thrombospondin‐I gene bearing pDNA","year":2012,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part B Applied Biomaterials","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Association of Canadian Universities for Northern Studies","keywords":"Transfection; Chitosan; Polyethylene glycol; Materials science; Cytotoxicity; PEGylation; Gene delivery; Polymer; PEG ratio; Zeta potential; Cationic polymerization; Conjugated system; In vitro; Biophysics; Polymer chemistry; Nanotechnology; Organic chemistry; Chemistry; Biochemistry; Nanoparticle; Biology; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001622883,0.0001740845,0.0004534494,0.0003485718,0.00006511289,0.00006329076,0.0001489365,0.0002237128,0.00007095588],"category_scores_gemma":[0.00005750767,0.0001274596,0.00002870697,0.0002000535,0.0002799533,0.00003788965,0.0001606502,0.00006077987,0.000001313947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000137819,"about_ca_system_score_gemma":0.00006978896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002519767,"about_ca_topic_score_gemma":8.716453e-7,"domain_scores_codex":[0.9979601,0.0001989315,0.0007665758,0.0002078617,0.0004313233,0.0004351937],"domain_scores_gemma":[0.999136,0.00002889187,0.0003836015,0.0001559508,0.0001010157,0.0001945334],"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":[0.002978966,0.0001321966,0.0003012982,0.00009179374,0.0000780786,0.000004149762,0.0001171247,1.443264e-7,0.9951964,0.00001316247,0.00001266422,0.001073991],"study_design_scores_gemma":[0.00104132,0.0005937599,0.01488266,0.00008802758,0.00002053518,0.00008253806,0.00007252998,0.000001711156,0.9829013,0.00001497814,0.0001676724,0.0001330174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989571,0.0002123495,0.00008268942,0.0001263971,0.000247529,0.0002565952,0.0000972982,0.000003878712,0.00001616244],"genre_scores_gemma":[0.9979718,0.0006824355,0.0004246524,0.00002572519,0.0006026945,0.00001322631,0.0002493999,0.00002243039,0.000007600949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01458136,"threshold_uncertainty_score":0.519765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409506745983871,"score_gpt":0.3002772345252187,"score_spread":0.27618216706538,"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."}}