{"id":"W2564610278","doi":"10.1016/s1525-0016(16)33422-0","title":"614. Microfluidic Manufacture of RNA-Lipid Nanoparticles Leads to Highly Efficient Delivery of Potent Nucleic Acid Therapeutics for Controlling Gene Expression","year":2016,"lang":"en","type":"article","venue":"Molecular Therapy","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; International Collaboration On Repair Discoveries; Precision Nanosystems (Canada)","funders":"","keywords":"Nucleic acid; Gene knockdown; In vivo; Small interfering RNA; RNA; Transfection; In vitro; RNA interference; Gene delivery; Chemistry; PTEN; Cell biology; Biology; Molecular biology; Biochemistry; Gene; Signal transduction; PI3K/AKT/mTOR pathway; Biotechnology","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":[0.0001595874,0.0002226252,0.0002855627,0.00007281446,0.00004905848,0.000010495,0.0003107864,0.0001595801,0.000009048911],"category_scores_gemma":[0.00001308194,0.0001535415,0.0002521244,0.00006135393,0.00007672807,0.000003887506,0.00006354317,0.00003785229,0.000005950433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001582071,"about_ca_system_score_gemma":0.00004672353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005306339,"about_ca_topic_score_gemma":7.348731e-7,"domain_scores_codex":[0.9987041,0.00007309205,0.0003688433,0.0003709842,0.0001832245,0.0002997674],"domain_scores_gemma":[0.9990433,0.00001972904,0.0001575174,0.0004705366,0.0002301933,0.00007872923],"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":[0.001379516,0.000138489,0.0001132697,0.00001427884,0.0001269374,0.000001947339,0.00009432559,0.0002258475,0.978488,0.00001134859,0.0001716609,0.01923435],"study_design_scores_gemma":[0.001906428,0.001188594,0.0001565451,0.0000707834,0.0000285992,0.000002672766,0.000030847,0.00002030775,0.9936138,0.00003199744,0.002744091,0.0002052828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510993,0.007896137,0.04001927,0.0002968707,0.000144823,0.0004533936,0.00006948441,0.000009691462,0.00001107723],"genre_scores_gemma":[0.9960496,0.001646064,0.001275451,0.0008005275,0.00007417766,0.00004135785,0.00001902502,0.00003995972,0.00005381901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04495037,"threshold_uncertainty_score":0.6261239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304800931347064,"score_gpt":0.2419492413897651,"score_spread":0.2289012320762945,"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."}}