{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002036944,0.0004189602,0.0002305608,0.0002834766,0.0001297736,0.0003304251,0.0002710091,0.0003854702,0.000998226],"category_scores_gemma":[0.0001659032,0.0001900176,0.000244438,0.000148797,0.0002183865,0.0003912005,0.0003231991,0.0003889691,0.0005189256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004685824,"about_ca_system_score_gemma":0.0002827435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002585354,"about_ca_topic_score_gemma":0.0006403133,"domain_scores_codex":[0.9999163,0.0000117738,0.00000792247,0.00002535602,0.00002215029,0.00001646051],"domain_scores_gemma":[0.9999425,0.00001060149,0.00002098041,0.000005982758,0.00001043966,0.000009342535],"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":[0.00002324022,0.00002335645,0.0000504595,0.00006013597,0.000005873096,0.00004354862,0.00001368696,0.0005264506,0.991313,0.00103998,0.0001616584,0.006738498],"study_design_scores_gemma":[0.00002047753,0.0001725305,0.0002171824,0.000005896213,0.00001729767,0.0001569636,0.000006680565,0.00528606,0.9856749,0.000237463,0.008196515,0.000008030297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6550252,0.007994738,0.3116814,0.0007740619,0.0002239431,0.0006856305,0.0004893242,0.001387892,0.02173772],"genre_scores_gemma":[0.8897797,0.002230844,0.1015954,0.0002215505,0.0000305437,0.0003008857,0.0001927035,0.00009194716,0.005556362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000998226,"threshold_uncertainty_score":0.003399789,"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."}}