{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002145125,0.0004781542,0.0001371366,0.0002787008,0.00009562806,0.0002767256,0.0002838265,0.0003680852,0.0005748848],"category_scores_gemma":[0.0002153899,0.0001185269,0.0001886206,0.0002495274,0.000328305,0.0002461197,0.0001952892,0.0003397049,0.0002637073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006226547,"about_ca_system_score_gemma":0.0002935715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053468,"about_ca_topic_score_gemma":0.001264541,"domain_scores_codex":[0.9998394,0.00002917728,0.00001370397,0.00002737666,0.00006354473,0.00002676853],"domain_scores_gemma":[0.9998605,0.00002397323,0.00005433979,0.000009975131,0.0000286373,0.00002258257],"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":[0.0000299669,0.000007809158,0.00005363592,0.00003969537,0.000003104207,0.00002762294,0.00000561344,0.0001212024,0.9981217,0.0001018044,0.00002956909,0.001458339],"study_design_scores_gemma":[0.0000104177,0.0001082879,0.0004174554,0.000004496085,0.00001219949,0.00007759828,0.000003926956,0.0008852715,0.996743,0.00002913254,0.001702819,0.000005359931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750773,0.005028125,0.01739297,0.0001845307,0.00004658863,0.0001230142,0.000220407,0.0002152975,0.00171171],"genre_scores_gemma":[0.978373,0.002431227,0.01534905,0.00008306193,0.00002017662,0.00006552193,0.0003152175,0.00004975441,0.003312984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001053468,"threshold_uncertainty_score":0.004517734,"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."}}