{"id":"W2125470506","doi":"10.1038/mtna.2012.28","title":"Microfluidic Synthesis of Highly Potent Limit-size Lipid Nanoparticles for In Vivo Delivery of siRNA","year":2012,"lang":"en","type":"article","venue":"Molecular Therapy — Nucleic Acids","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":664,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada); Precision Nanosystems (Canada); University of British Columbia","funders":"","keywords":"Dispersity; Microfluidics; In vivo; Small interfering RNA; Gene silencing; RNA interference; Nanotechnology; Chemistry; Nanoparticle; Biophysics; Materials science; RNA; Biology; Biochemistry; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004780876,0.0004302428,0.0002415147,0.0002387524,0.0001941574,0.0002501727,0.0002342124,0.0002831481,0.0006555095],"category_scores_gemma":[0.00028275,0.0002781672,0.0003276068,0.0001095117,0.0001601275,0.0002209539,0.0002221938,0.0004264206,0.0003875862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005813105,"about_ca_system_score_gemma":0.0004222075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002893771,"about_ca_topic_score_gemma":0.0006480273,"domain_scores_codex":[0.9998299,0.00002314887,0.00002588941,0.00004825183,0.00004689997,0.00002602408],"domain_scores_gemma":[0.9998875,0.00002702935,0.0000455917,0.000008870255,0.00001852236,0.00001257807],"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":[0.00001944013,0.00001450927,0.00006169707,0.00004777977,0.000004627431,0.00002594601,0.00001502666,0.0001684808,0.9956489,0.0003931507,0.0001111687,0.003489211],"study_design_scores_gemma":[0.00001075628,0.00008440633,0.0002853695,0.000003908839,0.000007323569,0.00004460424,0.000002586721,0.001262237,0.9943783,0.00006382564,0.003851328,0.000005276221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6271687,0.008592861,0.3474235,0.0009429426,0.0005466084,0.001236795,0.001358455,0.001661211,0.01106894],"genre_scores_gemma":[0.7826051,0.004144738,0.2049414,0.0003765119,0.00007378303,0.001059946,0.0007798123,0.0001346595,0.005884011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006555095,"threshold_uncertainty_score":0.004217684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185407286990457,"score_gpt":0.2308881026559974,"score_spread":0.2190340297860929,"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."}}