{"id":"W2900374879","doi":"10.1016/j.ijpharm.2018.11.001","title":"Modified gelatin nanoparticles for gene delivery","year":2018,"lang":"en","type":"review","venue":"International Journal of Pharmaceutics","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":106,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gelatin; Gene delivery; Nanoparticle; Transfection; Biocompatible material; PEGylation; Nanotechnology; Chemistry; Drug delivery; Cationic polymerization; Materials science; Biomedical engineering; Gene; Polymer chemistry; Biochemistry; Medicine; Polyethylene glycol","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":[0.0003344446,0.0002407383,0.0004704396,0.0001532908,0.00003559896,0.00005797458,0.0008095471,0.0002140969,0.00002709533],"category_scores_gemma":[0.0001097621,0.000200927,0.0006566007,0.0000447628,0.00006667127,0.000009767375,0.0001373239,0.0001765309,0.00002116815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005664077,"about_ca_system_score_gemma":0.0003429872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001026394,"about_ca_topic_score_gemma":0.000001430935,"domain_scores_codex":[0.9984863,0.00007103128,0.0007759749,0.0002043287,0.0002763382,0.0001860636],"domain_scores_gemma":[0.997924,0.00005272037,0.000778049,0.000152054,0.0009929468,0.0001002149],"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":[0.0004188406,0.0001956607,0.000007161456,0.000695558,0.0032051,0.00005289969,0.00004347459,0.00009157755,0.06629272,0.00003627305,0.01222918,0.9167315],"study_design_scores_gemma":[0.0005281427,0.0002339932,4.729347e-7,0.0007824833,0.00047432,0.0003000506,0.000007511197,0.00005908151,0.06441531,0.00004638558,0.9329554,0.0001968237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008576028,0.9873609,0.001112725,0.00003803684,0.002432464,0.0002013368,0.0001892689,0.000003572371,0.00008569518],"genre_scores_gemma":[0.003881541,0.9908459,0.001196851,0.0002049117,0.003327149,0.00001274687,0.0001358195,0.00003863748,0.0003564607],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9207262,"threshold_uncertainty_score":0.8193564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120377011993849,"score_gpt":0.4204158860834835,"score_spread":0.3083781848840986,"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."}}