{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006233525,0.00009656823,0.0001497514,0.00004612678,0.00003163631,0.00001248752,0.00006571593,0.0000660001,0.000008676846],"category_scores_gemma":[0.00000297003,0.00008058528,0.00002964058,0.00006908166,0.0001052541,0.000005270085,0.00001872306,0.000003954764,4.435303e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002728857,"about_ca_system_score_gemma":0.00002067651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007894309,"about_ca_topic_score_gemma":0.00000701178,"domain_scores_codex":[0.999355,0.0000384466,0.0002484921,0.0001656696,0.0000863332,0.00010603],"domain_scores_gemma":[0.9997033,0.000003809309,0.00006780646,0.0001479558,0.00005759012,0.0000195357],"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":[0.00007681862,0.0001103434,0.0005835684,0.00001854397,0.00002205724,0.000001280231,0.00001554108,0.0000621521,0.9986184,0.0003579432,0.000005983498,0.0001273787],"study_design_scores_gemma":[0.0006499187,0.0002659617,0.007936317,0.00002173476,0.00002673843,0.000009567949,0.00001024409,0.00001431321,0.990884,0.00006580885,0.00001866561,0.00009673466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962074,0.000555935,0.002936756,0.00001395573,0.00006814094,0.0001271754,0.00004951784,0.000004801764,0.00003637787],"genre_scores_gemma":[0.9984394,0.0000574239,0.001373874,0.00000514572,0.00003820808,0.000003898525,0.00006782877,0.00001033315,0.000003921973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007734396,"threshold_uncertainty_score":0.3286172,"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."}}