{"id":"W3002412580","doi":"10.1016/j.ijpharm.2020.119078","title":"Cholic acid-based mixed micelles as siRNA delivery agents for gene therapy","year":2020,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Cholic acid; Micelle; Ethylene glycol; Chemistry; PEG ratio; Transfection; Copolymer; Gene delivery; Amphiphile; HeLa; Tertiary amine; Bile acid; Combinatorial chemistry; Biophysics; Polymer chemistry; Organic chemistry; Biochemistry; Cell; Aqueous solution; Polymer","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":[0.0001356241,0.0001420988,0.0001397199,0.00006632396,0.00003485008,0.00004834059,0.0005807327,0.00008007433,0.00008033207],"category_scores_gemma":[0.00008067674,0.0001301692,0.0002536296,0.00004161471,0.00004035908,0.00001202482,0.00005430454,0.000122822,0.00001816024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002298812,"about_ca_system_score_gemma":0.0001697061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002694258,"about_ca_topic_score_gemma":0.000001033344,"domain_scores_codex":[0.9990113,0.00003970341,0.000352458,0.0001608767,0.0002857118,0.0001499251],"domain_scores_gemma":[0.9987896,0.00002218994,0.0002726893,0.00008149182,0.0006855977,0.0001484176],"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":[0.001512854,0.0001052111,0.0005381482,0.000005926821,0.0004322495,0.00002983511,0.00008745566,0.0008537305,0.9794839,0.000006642098,0.005114795,0.01182928],"study_design_scores_gemma":[0.002229554,0.0004192784,0.0001094753,0.0000119685,0.00002874362,0.00003465229,0.00004408165,0.001339371,0.8048047,0.0000268178,0.19084,0.000111401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888288,0.002154904,0.004971081,0.002747811,0.001017608,0.0001163967,0.0000666227,0.000005036464,0.00009175803],"genre_scores_gemma":[0.9836041,0.002578823,0.001336088,0.01088163,0.001416762,0.000004680103,0.00006579445,0.00002142187,0.00009064932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1857252,"threshold_uncertainty_score":0.5308145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07470936150812676,"score_gpt":0.3660702527517301,"score_spread":0.2913608912436033,"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."}}