{"id":"W3081923205","doi":"10.1016/j.biomaterials.2020.120343","title":"Biochemical reprogramming of tumors for active modulation of receptor-mediated nanomaterial delivery","year":2020,"lang":"en","type":"article","venue":"Biomaterials","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ministry of Science and ICT, South Korea","keywords":"HeLa; Cancer cell; Materials science; Biophysics; Nanoclusters; Reactive oxygen species; Colloidal gold; Tumor microenvironment; Nanoparticle; Chemistry; Nanotechnology; Cancer research; Cell; Cancer; Biochemistry; Biology","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":[0.00008923975,0.0003699965,0.0001748457,0.0001723417,0.0001030913,0.0002914834,0.0001883708,0.0002836285,0.0008152506],"category_scores_gemma":[0.00008523004,0.0001264483,0.0002707062,0.00009371166,0.0001399541,0.00027546,0.0002086043,0.0004996941,0.0003369383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002285311,"about_ca_system_score_gemma":0.0001110127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001886058,"about_ca_topic_score_gemma":0.0002877978,"domain_scores_codex":[0.9999224,0.00001046391,0.000004834503,0.00002242489,0.00002449361,0.00001542468],"domain_scores_gemma":[0.9999551,0.000008108409,0.0000162933,0.000008276751,0.000005608209,0.000006672627],"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":[0.00001265896,0.000009575158,0.00004244093,0.00004112316,0.000004380814,0.00003107474,0.00001086764,0.0001088208,0.9970754,0.0002063704,0.00003687775,0.002420276],"study_design_scores_gemma":[0.000003809482,0.00006578733,0.000306772,0.000002980315,0.000008929683,0.000130105,0.000009308045,0.0007067326,0.9941962,0.00009202713,0.0044734,0.00000392826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9047847,0.009435618,0.07696652,0.0005867884,0.0002472193,0.0001902302,0.0004810595,0.0006619456,0.006646087],"genre_scores_gemma":[0.9764394,0.003243399,0.01651801,0.0001308693,0.00002775626,0.00007935162,0.0001854175,0.00006216678,0.003313832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008152506,"threshold_uncertainty_score":0.00272727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846205273665668,"score_gpt":0.2180957627392185,"score_spread":0.1996337100025619,"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."}}