{"id":"W1976764606","doi":"10.1088/0957-4484/24/5/055101","title":"Synthesis and evaluation of diethylethylamine–chitosan for gene delivery: composition effects on the<i>in vitro</i>transfection efficiency","year":2013,"lang":"en","type":"article","venue":"Nanotechnology","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Chitosan; Transfection; HeLa; Lysozyme; Gene delivery; Zeta potential; In vitro; Cytotoxicity; Materials science; Nanoparticle; Surface charge; Dynamic light scattering; Biophysics; Molecular biology; Nuclear chemistry; Nanotechnology; Chemistry; Gene; Biochemistry; Biology; Physical 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":[0.0002514889,0.0001047951,0.0001305085,0.0000984724,0.00005264394,0.000006803677,0.0001099627,0.0002423049,0.000003787352],"category_scores_gemma":[0.0001382573,0.00008339188,0.00004938649,0.00008613526,0.00008509031,0.000003946593,0.00002515888,0.00007231763,0.000002640005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001193946,"about_ca_system_score_gemma":0.00002038281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005240893,"about_ca_topic_score_gemma":0.0000137998,"domain_scores_codex":[0.9992506,0.000104838,0.000153607,0.000243119,0.0001006347,0.0001472393],"domain_scores_gemma":[0.9995182,0.0001139353,0.00005637349,0.0002051961,0.00009289943,0.00001346351],"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":[0.00009649325,0.00004795095,0.00006096272,0.00001745012,0.00001670248,1.278351e-7,0.00001674317,0.00005151318,0.9315969,0.0000425745,0.00002738436,0.06802525],"study_design_scores_gemma":[0.00044834,0.0006231738,0.001108785,0.00002348373,0.00003423241,0.000003765506,0.00003029489,0.001768725,0.9955356,0.0003097685,0.00002844359,0.00008545475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966322,0.0004559956,0.001342668,0.000655663,0.00008788033,0.0007669801,0.000008734624,0.00001068669,0.00003914416],"genre_scores_gemma":[0.9990618,0.0001525874,0.0001648585,0.0001029093,0.00003392904,0.0004494555,0.00002217587,0.000009270418,0.000002961469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0679398,"threshold_uncertainty_score":0.3400622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00957232484854426,"score_gpt":0.2353843587058088,"score_spread":0.2258120338572646,"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."}}