{"id":"W2941514458","doi":"10.1039/c9nr02004g","title":"Fusion-dependent formation of lipid nanoparticles containing macromolecular payloads","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Biotech (Canada); University of British Columbia","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canadian Institutes of Health Research; British Columbia Innovation Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Macromolecule; Fusion; Nanoparticle; Nanotechnology; Materials science; Chemistry; Chemical engineering; Biophysics; Biochemistry; Engineering; Biology","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":[0.0001071146,0.00009214741,0.0001196501,0.00002995547,0.0000284032,0.00001170487,0.0001377801,0.0000964239,0.00009811499],"category_scores_gemma":[0.00001926847,0.00008438124,0.00007449921,0.00004697537,0.00002489369,0.000007654915,0.0000889248,0.00004255039,0.00009083622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000800383,"about_ca_system_score_gemma":0.00002627278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000012512,"about_ca_topic_score_gemma":0.00001209716,"domain_scores_codex":[0.9992845,0.00003332055,0.0002065632,0.0001803822,0.0001331766,0.0001620745],"domain_scores_gemma":[0.9995335,0.000006114979,0.00008489419,0.0002498975,0.00008504462,0.00004057583],"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":[0.00009705272,0.00003531257,0.005765463,0.00001819834,0.00001250311,0.000001281123,0.00006727735,0.00003215238,0.9917469,0.00003059709,0.0003677723,0.001825479],"study_design_scores_gemma":[0.0004573937,0.0005534143,0.001091517,0.00002436045,0.000007865308,0.000009520012,0.0001755422,0.0001354085,0.9939154,0.00002415718,0.003497268,0.0001081087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968984,0.0002808456,0.0005355669,0.00004626853,0.000189468,0.000138102,0.00001058075,0.000007871637,0.001892939],"genre_scores_gemma":[0.998789,0.00007812891,0.0001288567,0.0001612692,0.00006128434,0.000008410376,0.0000444846,0.00001017874,0.0007183808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004673946,"threshold_uncertainty_score":0.3440967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007978768954476937,"score_gpt":0.2290436627757463,"score_spread":0.2210648938212693,"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."}}