{"id":"W4256219020","doi":"10.1002/ange.201203263","title":"Maximizing the Potency of siRNA Lipid Nanoparticles for Hepatic Gene Silencing In Vivo**","year":2012,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Encana (Canada)","funders":"","keywords":"Chemistry; In vivo; Gene silencing; Molecular biology; Potency; ED50; Gene; Biochemistry; In vitro; Biology; Genetics","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":[0.0002218506,0.0001055708,0.0001263363,0.0000231779,0.00004295447,0.000008028599,0.0001636092,0.00007579942,0.00001813076],"category_scores_gemma":[0.00007830786,0.00007965534,0.00008607836,0.00006646629,0.00004552527,0.000008484219,0.00006367388,0.00004392594,0.000002586545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001150662,"about_ca_system_score_gemma":0.00002716002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004998539,"about_ca_topic_score_gemma":0.00003627435,"domain_scores_codex":[0.9992804,0.00001682985,0.0002055474,0.0001460598,0.00007241376,0.0002787815],"domain_scores_gemma":[0.9995669,0.00002720816,0.00007564248,0.0002349769,0.0000518407,0.00004344322],"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":[0.00004267596,0.00004725293,0.003990715,0.00002770363,0.00002112028,2.98992e-7,0.0002757006,0.00001310328,0.994182,0.00001054527,0.0007518,0.0006370908],"study_design_scores_gemma":[0.0002708103,0.00009295749,0.0007076098,0.00002528869,0.00001898275,0.000005088166,0.000228996,0.00001341895,0.9967141,0.00004101993,0.001776346,0.0001054379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967936,0.002187517,0.0001255849,0.0001173316,0.0001320877,0.0001413212,0.00001539164,0.000004487647,0.000482728],"genre_scores_gemma":[0.9985306,0.0002716903,0.0003853664,0.0002416902,0.0002912404,0.00004122909,0.00001507174,0.00001351257,0.0002096613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003283106,"threshold_uncertainty_score":0.324825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987565675125786,"score_gpt":0.2503134255758911,"score_spread":0.2304377688246332,"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."}}