{"id":"W2287068442","doi":"10.1021/acs.jpcb.5b02891","title":"Microfluidic Mixing: A General Method for Encapsulating Macromolecules in Lipid Nanoparticle Systems","year":2015,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry B","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":344,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Microfluidics; Bilayer; Macromolecule; Nanoparticle; Lipid bilayer; Chemistry; Nanotechnology; Colloidal gold; Biophysics; Ethylene glycol; Cationic polymerization; Nanostructure; Materials science; Chemical engineering; Membrane; Biochemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005510318,0.0001147861,0.0001914278,0.00001207795,0.00003095189,0.00002345524,0.0002775012,0.00005896469,0.000001106672],"category_scores_gemma":[0.0001462186,0.00008014514,0.0001203673,0.00006258251,0.00003947124,0.00000632927,0.00006071349,0.0001163697,0.000001568754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002376458,"about_ca_system_score_gemma":0.00009346993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001787508,"about_ca_topic_score_gemma":6.043015e-7,"domain_scores_codex":[0.9991841,0.00008471977,0.0002851824,0.0001138666,0.0001360504,0.0001961207],"domain_scores_gemma":[0.9993305,0.00004257473,0.0001820896,0.0001668433,0.00018498,0.00009302673],"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":[0.0002048104,0.00007078634,0.00007304324,0.00002502945,0.00003611097,0.000003223632,0.0002053968,0.0009930475,0.9960791,0.000007138029,0.001944803,0.0003575426],"study_design_scores_gemma":[0.0006772137,0.000280781,0.00001833166,0.00003766154,0.00003230094,0.0001010731,0.0004657634,0.003694992,0.9923144,0.0001124071,0.002163938,0.0001011462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934565,0.001879598,0.004283265,0.0001071917,0.00007235612,0.00007533975,0.000005911284,0.000002225109,0.000117579],"genre_scores_gemma":[0.9980096,0.0000505167,0.0005788806,0.00005802378,0.001085152,0.000005742595,0.000005488565,0.00001328831,0.0001933204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004553054,"threshold_uncertainty_score":0.3268224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243411855632119,"score_gpt":0.2963274229586852,"score_spread":0.273893304402364,"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."}}