{"id":"W4243455690","doi":"10.2174/2210304x11101020118","title":"Delivery Systems for Applications in siRNA Technology","year":2011,"lang":"en","type":"article","venue":"Drug Delivery Letters","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Small interfering RNA; RNA interference; Nanocarriers; RNA; Trans-acting siRNA; Viral vector; Gene silencing; Computational biology; Biology; Cell biology; Gene; Genetics; Pharmacology; Drug","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":[0.0001271827,0.0001825939,0.0001744766,0.0002114607,0.00007124602,0.00001696424,0.0003759836,0.0001484511,0.000008566436],"category_scores_gemma":[0.00001157516,0.0001861661,0.000101443,0.0001654778,0.00009745265,0.000009441327,0.00009282573,0.00009860907,0.00003640874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002932182,"about_ca_system_score_gemma":0.00003806469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000203363,"about_ca_topic_score_gemma":0.00009171275,"domain_scores_codex":[0.9988316,0.00002891076,0.0002699616,0.0004306219,0.00007522618,0.000363648],"domain_scores_gemma":[0.9993343,0.00001545295,0.00008346055,0.0004150215,0.00009509597,0.00005670726],"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":[0.0002024082,0.0001870418,0.02361535,0.00006915017,0.0001284925,0.0000149109,0.0002988898,0.0002310459,0.9487877,0.0004089839,0.02322675,0.002829303],"study_design_scores_gemma":[0.00306854,0.0006110885,0.006710108,0.0001587316,0.0001435309,0.00006367875,0.004068541,0.001087,0.7819089,0.0004998641,0.1997899,0.001890105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930967,0.001607876,0.003791837,0.0002264458,0.0002025356,0.0005785393,0.00004169221,0.00003349509,0.0004208548],"genre_scores_gemma":[0.9972127,0.0003656516,0.0006054562,0.0008205753,0.0001468249,0.0004877812,0.0001280709,0.00002702316,0.0002059187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1765631,"threshold_uncertainty_score":0.7591634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375422058433917,"score_gpt":0.2193686875187707,"score_spread":0.2056144669344315,"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."}}