{"id":"W2600400434","doi":"10.1016/j.ymthe.2017.03.013","title":"Lipid Nanoparticle Systems for Enabling Gene Therapies","year":2017,"lang":"en","type":"review","venue":"Molecular Therapy","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acuitas Therapeutics (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Council Canada; Medical Research Council Canada; Canadian Institutes of Health Research; Genome British Columbia; Alnylam Pharmaceuticals","keywords":"Gene silencing; Genetic enhancement; RNA interference; Small interfering RNA; Computational biology; Genome editing; Gene; Gene delivery; Biology; Bioinformatics; Medicine; RNA; CRISPR; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004654643,0.0006055705,0.0003890759,0.0007902104,0.0002946437,0.0008309282,0.0003886987,0.001027492,0.004125296],"category_scores_gemma":[0.0003155419,0.0003084074,0.0004972002,0.0003811856,0.0003417481,0.001248326,0.0008980039,0.001200002,0.003759512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006380822,"about_ca_system_score_gemma":0.000420481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005436642,"about_ca_topic_score_gemma":0.0006456557,"domain_scores_codex":[0.999723,0.00004709112,0.00002485376,0.00006130931,0.0001140949,0.00002955795],"domain_scores_gemma":[0.9999114,0.00002583671,0.00002250823,0.000005891899,0.00002563553,0.000008646065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001172386,0.0001036595,0.000252769,0.006820483,0.00009566758,0.0008477852,0.0003241074,0.001742859,0.5490915,0.06657346,0.02197427,0.3520561],"study_design_scores_gemma":[0.00001843586,0.0002715504,0.0002068082,0.0003654244,0.00005818059,0.001289216,0.00004803592,0.001105571,0.116694,0.005767024,0.8741425,0.00003314454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02071205,0.7180863,0.153024,0.004998018,0.003096257,0.0005754271,0.0006976617,0.001191202,0.09761907],"genre_scores_gemma":[0.1177029,0.6790692,0.1075123,0.004755163,0.001156669,0.0006122951,0.001081265,0.0002576262,0.08785263],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004125296,"threshold_uncertainty_score":0.0138005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09359412117780753,"score_gpt":0.3576907772856159,"score_spread":0.2640966561078084,"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."}}