{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002746556,0.0002161471,0.0003228412,0.00007901904,0.0000311341,0.000008622103,0.0003126684,0.000188814,0.00003486104],"category_scores_gemma":[0.00008408001,0.0002031982,0.0002642375,0.000120673,0.0001163656,0.00001178267,0.00007698328,0.00005664595,0.000004705911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001717929,"about_ca_system_score_gemma":0.00004885221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004366543,"about_ca_topic_score_gemma":0.000003394206,"domain_scores_codex":[0.9986594,0.00009563966,0.0004280876,0.0002758181,0.0001524294,0.0003885901],"domain_scores_gemma":[0.9991397,0.00005132427,0.0001557767,0.0004405525,0.0001283955,0.00008428373],"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":[0.0005830679,0.0003257018,0.004008858,0.00003637879,0.0001455442,0.000001717749,0.0001232219,0.000009410918,0.9856758,0.00004762985,0.0006658683,0.00837677],"study_design_scores_gemma":[0.0007770414,0.0005653954,0.002627385,0.00004692686,0.00003128327,0.000005129583,0.0001050607,0.000008171489,0.98858,0.00003474538,0.007005337,0.0002135309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868902,0.01211792,0.0002805768,0.00008895664,0.0001328948,0.0002934818,0.00004795591,0.000008138369,0.0001399072],"genre_scores_gemma":[0.9940081,0.004625871,0.0007661998,0.0003378878,0.00008820774,0.00005832392,0.000009198103,0.00004269281,0.00006348473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008163239,"threshold_uncertainty_score":0.8286181,"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."}}