{"id":"W1974191744","doi":"10.1002/jgm.1167","title":"Hydrophobically modified low molecular weight chitosans as efficient and nontoxic gene delivery vectors","year":2008,"lang":"en","type":"article","venue":"The Journal of Gene Medicine","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Transfection; Gene delivery; Chemistry; Cytotoxicity; Chitosan; Dynamic light scattering; DNA; Intracellular; Biophysics; Confocal microscopy; Fluorescence correlation spectroscopy; Biocompatible material; Fluorescence; Fluorescence spectroscopy; Molecular biology; Gene; Biochemistry; In vitro; Nanotechnology; Molecule; Nanoparticle; Cell biology; Materials science; Biology; Organic chemistry; Biomedical engineering","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":[0.0003894241,0.0002023107,0.0002985161,0.00008988918,0.0001271274,0.000005507646,0.0003515888,0.0001059794,0.00002679514],"category_scores_gemma":[0.00008481323,0.0001211252,0.0001051989,0.0001042419,0.0003195222,0.000003904619,0.00007453058,0.0001994544,0.000007958559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001640728,"about_ca_system_score_gemma":0.0001267858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004210731,"about_ca_topic_score_gemma":0.000004706334,"domain_scores_codex":[0.998661,0.0001222867,0.0004415456,0.0001776816,0.0003578871,0.0002395793],"domain_scores_gemma":[0.9990461,0.000028365,0.0002423506,0.0003161383,0.0001869223,0.0001801073],"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":[0.0004345553,0.00006072671,0.0001539839,0.000006608151,0.0001322412,0.0001573702,0.0003336478,0.001691809,0.9958766,0.000003792244,0.0007213859,0.000427316],"study_design_scores_gemma":[0.001440963,0.002139597,0.002559037,0.00006314762,0.0001314157,0.003069238,0.000107703,0.0003864653,0.9894235,0.00002938526,0.0004797931,0.0001697276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853715,0.01052676,0.002565397,0.0006847128,0.0003270328,0.0001041291,0.000002914041,0.000003876737,0.0004136814],"genre_scores_gemma":[0.9919304,0.006033303,0.0001892866,0.0009465665,0.0006965937,0.000001474233,0.000007824362,0.00002060501,0.0001739188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006558935,"threshold_uncertainty_score":0.4939343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007602517282523742,"score_gpt":0.2208937000687732,"score_spread":0.2132911827862495,"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."}}