{"id":"W2034139519","doi":"10.3390/pharmaceutics5030498","title":"Advances in Lipid Nanoparticles for siRNA Delivery","year":2013,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":222,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Alnylam Pharmaceuticals","keywords":"Small interfering RNA; Gene silencing; RNA interference; Drug delivery; RNA; Cytoplasm; Computational biology; Chemistry; Nanotechnology; Cell biology; Gene; Biology; Biochemistry; Materials science","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":[0.00007430785,0.0001028149,0.0000879338,0.00003127012,0.00003433584,0.00002232843,0.0001454607,0.00005734168,0.00004703769],"category_scores_gemma":[0.00002895282,0.00009820851,0.00005333704,0.0000508431,0.00003724941,0.000015018,0.00005151716,0.00005110795,0.00006063917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008966752,"about_ca_system_score_gemma":0.00002501456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009439384,"about_ca_topic_score_gemma":0.00002712908,"domain_scores_codex":[0.9993169,0.00002026623,0.0001607466,0.0001981931,0.00005738272,0.0002464899],"domain_scores_gemma":[0.9996675,0.00001716012,0.00003685769,0.0001339742,0.00008226861,0.00006220529],"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":[0.00005812045,0.00005297352,0.003064319,0.00002102271,0.00001015098,6.286837e-7,0.00003041383,0.0001595813,0.9396352,0.00002227198,0.002109797,0.05483558],"study_design_scores_gemma":[0.000553571,0.0001256492,0.000411894,0.000009626973,0.000009040593,0.000002570856,0.00007902794,0.001283224,0.8428143,0.0001870486,0.1543822,0.0001417644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944078,0.003814003,0.0003094783,0.0001918616,0.0002268555,0.0002754289,0.000009916972,0.000009711409,0.0007549521],"genre_scores_gemma":[0.9936021,0.004406769,0.0005184919,0.0008451862,0.0002175819,0.0001086031,0.00002506249,0.0000135606,0.0002626644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1522724,"threshold_uncertainty_score":0.4004827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593901748402649,"score_gpt":0.3188863563269368,"score_spread":0.2929473388429104,"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."}}