{"id":"W2799813152","doi":"10.1002/smtd.201700375","title":"State‐of‐the‐Art Design and Rapid‐Mixing Production Techniques of Lipid Nanoparticles for Nucleic Acid Delivery","year":2018,"lang":"en","type":"article","venue":"Small Methods","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":315,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"H2020 LEIT Nanotechnologies; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canadian Institutes of Health Research; European Commission","keywords":"Small interfering RNA; Gene silencing; Cytoplasm; Nucleic acid; RNA; RNA interference; Chemistry; Cell biology; Cas9; Biology; CRISPR; Biochemistry; Gene","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":[0.0008151609,0.00009160057,0.0001306537,0.00003255182,0.00005652632,0.00000727772,0.0001319047,0.00006532892,0.000003961949],"category_scores_gemma":[0.000222768,0.00007196728,0.00006416952,0.00006756057,0.0001950779,0.000005248823,0.00008437656,0.00003335997,5.465423e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000440504,"about_ca_system_score_gemma":0.00003964296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004672036,"about_ca_topic_score_gemma":0.000007121153,"domain_scores_codex":[0.9991834,0.0002160173,0.0002041303,0.0002202882,0.00004462085,0.0001315058],"domain_scores_gemma":[0.9993645,0.00002961825,0.0001216531,0.0002489332,0.0002107068,0.00002459481],"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":[0.0001591557,0.0000200124,0.0001661601,0.0000326079,0.00002810806,3.430536e-8,0.00007279514,0.000004072419,0.8772058,0.000006830625,0.0005468099,0.1217576],"study_design_scores_gemma":[0.00009676882,0.0007993158,0.0003919874,0.00003733387,0.00002244171,0.000004315752,0.00003289476,0.00008136407,0.9932654,0.0003377277,0.004846885,0.00008354812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8506033,0.0004348517,0.1483509,0.00006436678,0.0001824965,0.0002995438,0.000004066507,0.000008586748,0.00005190912],"genre_scores_gemma":[0.6057848,0.0001568368,0.3936756,0.00005265773,0.0001441753,0.0000275667,0.000002024093,0.00001195365,0.0001443546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2453247,"threshold_uncertainty_score":0.293474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03920165065473123,"score_gpt":0.3172939065253952,"score_spread":0.278092255870664,"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."}}