{"id":"W2099166156","doi":"10.1016/j.biomaterials.2006.04.029","title":"High efficiency gene transfer using chitosan/DNA nanoparticles with specific combinations of molecular weight and degree of deacetylation","year":2006,"lang":"en","type":"article","venue":"Biomaterials","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":441,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Chitosan; Gene delivery; Transfection; Transgene; Materials science; Amine gas treating; Nuclear chemistry; Polysaccharide; Nanoparticle; Acetylation; Biophysics; Molecular biology; Chemistry; Gene; Biochemistry; Biology; Nanotechnology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004205017,0.001125413,0.0004171795,0.0004411892,0.0001863757,0.0003613881,0.0004550146,0.0004799993,0.0006292574],"category_scores_gemma":[0.0003488781,0.0003569739,0.0003966663,0.0003289237,0.0004917113,0.0004014047,0.0003198954,0.0004779703,0.0002826758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008074131,"about_ca_system_score_gemma":0.0004459626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256096,"about_ca_topic_score_gemma":0.002290059,"domain_scores_codex":[0.9997218,0.00003226834,0.00002738843,0.00007037684,0.00008381346,0.00006432271],"domain_scores_gemma":[0.9997032,0.00007444169,0.0001094467,0.00003157457,0.00004093081,0.00004039889],"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":[0.00003371143,0.000007942922,0.00002134513,0.00001933339,0.000003106515,0.00001295456,0.000006083033,0.00005970803,0.9991894,0.00008929595,0.00001099223,0.000546057],"study_design_scores_gemma":[0.000004822496,0.00002423836,0.00007940558,6.993658e-7,0.000005447874,0.00001600392,0.000001075742,0.0001972775,0.9994776,0.000008665439,0.0001826056,0.000002254375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537914,0.001814178,0.03999177,0.0001945953,0.00007374982,0.0001966245,0.000312556,0.0004486572,0.003176486],"genre_scores_gemma":[0.9739602,0.0006038583,0.02210283,0.0000609624,0.00001529997,0.00008878465,0.0002215424,0.00009364462,0.002852887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001256096,"threshold_uncertainty_score":0.005858243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368700222662153,"score_gpt":0.2150429171492617,"score_spread":0.2013559149226402,"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."}}