{"id":"W2780522199","doi":"10.1002/anie.201710144","title":"Engineering Multifunctional RNAi Nanomedicine To Concurrently Target Cancer Hallmarks for Combinatorial Therapy","year":2017,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Institutes of Health; National Cancer Institute; Prostate Cancer Foundation","keywords":"RNA interference; Nanomedicine; Endosome; Gene silencing; Cancer therapy; Cancer research; Gene knockdown; Cancer cell; Chemistry; In vivo; Cell biology; Cancer; Biology; Nanotechnology; Cell; Materials science; Nanoparticle; RNA; Biochemistry; Gene; Biotechnology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003128322,0.0001625018,0.0001671609,0.00006381402,0.0002329064,0.0001744901,0.0004218724,0.00007427228,0.001368452],"category_scores_gemma":[0.0004429269,0.0001569985,0.00007830108,0.00003444651,0.00006561916,0.0005032886,0.00007172587,0.00008591306,0.0000739496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332734,"about_ca_system_score_gemma":0.00008215661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001229182,"about_ca_topic_score_gemma":0.000008709078,"domain_scores_codex":[0.9987031,0.00000866357,0.0002568675,0.0003379755,0.0004478195,0.0002456216],"domain_scores_gemma":[0.9988837,0.0001292763,0.0001819027,0.0002365774,0.0004395538,0.0001289818],"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":[0.0003363293,0.0001074247,0.0004254268,0.00001318274,0.00003405812,0.000003010852,0.0000757873,0.000374687,0.9652094,0.0006170546,0.03210372,0.0006999113],"study_design_scores_gemma":[0.002453108,0.00007581284,0.001396954,0.00007762972,0.00001048132,0.000002356167,0.00001084211,0.0009803992,0.9286867,0.0003675848,0.06576431,0.000173877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9208255,0.0002348726,0.01814909,0.008149393,0.04992359,0.0007475731,0.001106195,0.0001621175,0.0007016439],"genre_scores_gemma":[0.990696,0.00004324989,0.0010869,0.0004756086,0.006704544,0.0004325382,0.0002703081,0.00002479217,0.0002661094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06987042,"threshold_uncertainty_score":0.9995444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147770262550968,"score_gpt":0.289310853034543,"score_spread":0.2678331504090333,"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."}}