{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002197505,0.0006785202,0.0003785583,0.0006670913,0.0000942527,0.0003748001,0.0004797957,0.0006664355,0.00130265],"category_scores_gemma":[0.0001942522,0.0001804189,0.0002010569,0.0005702247,0.0003491619,0.000567726,0.0004245623,0.0008450425,0.0008178202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003513766,"about_ca_system_score_gemma":0.0003601803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004287599,"about_ca_topic_score_gemma":0.000712354,"domain_scores_codex":[0.9999001,0.00001288648,0.000008313826,0.00001913657,0.00004580295,0.00001378885],"domain_scores_gemma":[0.9999413,0.00002361719,0.00001568424,0.000003121294,0.00001056202,0.000005587589],"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":[0.0001042743,0.0001106958,0.0001244052,0.008258426,0.00007193838,0.0005292153,0.00008107154,0.0007372122,0.2467911,0.007879031,0.01195161,0.723361],"study_design_scores_gemma":[0.0000286032,0.0002424083,0.0006545004,0.0008389629,0.0001165,0.002281955,0.00004336388,0.000674397,0.1642869,0.001436899,0.8293514,0.00004409333],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004733204,0.9797388,0.006975071,0.0005337418,0.0006518508,0.00003292748,0.00005484212,0.00008896103,0.007190532],"genre_scores_gemma":[0.02875742,0.9518661,0.005081625,0.0005622524,0.0002588578,0.00006399283,0.0001109201,0.000022457,0.01327636],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00130265,"threshold_uncertainty_score":0.004357815,"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."}}