{"id":"W2084554859","doi":"10.1517/17425247.2010.514604","title":"Advances in using chitosan-based nanoparticles for<i>in vitro</i>and<i>in vivo</i>drug and gene delivery","year":2010,"lang":"en","type":"review","venue":"Expert Opinion on Drug Delivery","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Nanocarriers; Chitosan; Drug delivery; Gene delivery; In vivo; Nanotechnology; Surface modification; Materials science; Nanomedicine; Pharmacology; Chemistry; Nanoparticle; Biotechnology; Genetic enhancement; Medicine; Biochemistry; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002821569,0.0005732787,0.0009842397,0.0003848587,0.0000759707,0.00005270557,0.0002937305,0.0004207891,0.000004704345],"category_scores_gemma":[0.00004081497,0.0005381851,0.0002349263,0.0001826552,0.0001271314,0.00002977602,0.000144434,0.0003547561,0.000002200723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004945112,"about_ca_system_score_gemma":0.0002476691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001598188,"about_ca_topic_score_gemma":0.0003551737,"domain_scores_codex":[0.9973798,0.0001974854,0.0007272225,0.0009870254,0.0001661211,0.0005423093],"domain_scores_gemma":[0.9990507,0.0001398715,0.0002270964,0.000418673,0.00003865152,0.0001249672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006185673,0.0002986902,0.00008266614,0.001157705,0.00002810269,0.000021862,0.0001481901,0.0001179161,0.4246705,0.00000426995,0.0002270919,0.5726244],"study_design_scores_gemma":[0.001571971,0.0001548801,0.0000114849,0.004500282,0.0000183466,0.00002459453,0.0001122222,0.0006111485,0.3258623,0.00001361992,0.6661559,0.0009631824],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2396003,0.7591413,0.00001042984,0.00003154614,0.0004971402,0.0005969309,0.00008544809,0.000009122749,0.00002778979],"genre_scores_gemma":[0.029132,0.9690027,0.0006838565,0.0003180891,0.0003463621,0.0002328569,0.0002017178,0.00006705867,0.00001531667],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6659288,"threshold_uncertainty_score":0.999707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421496640867552,"score_gpt":0.3154941224461009,"score_spread":0.2912791560374253,"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."}}