{"id":"W3204339600","doi":"10.1016/j.biomaterials.2021.121178","title":"‘Green’ nanotherapeutics from tea leaves for orally targeted prevention and alleviation of colon diseases","year":2021,"lang":"en","type":"article","venue":"Biomaterials","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":293,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Fundamental Research Funds for the Central Universities; Venture and Innovation Support Program for Chongqing Overseas Returnees; Natural Science Foundation of Chongqing; Chinese Academy of Sciences; Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission; National University's Basic Research Foundation of China; National Natural Science Foundation of China","keywords":"Endocytosis; Internalization; Reactive oxygen species; Inflammatory bowel disease; Colitis; Ulcerative colitis; Inflammation; Proinflammatory cytokine; Cancer research; Exosome; Microvesicles; Pharmacology; Receptor; Cell biology; Medicine; Immunology; Biology; Disease; microRNA; Biochemistry; Pathology","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":[0.00009525837,0.0002227914,0.000198367,0.0001888038,0.000153396,0.0002457382,0.0001394409,0.0004078294,0.002272168],"category_scores_gemma":[0.00008298857,0.000131333,0.0003021032,0.0001308894,0.0001409032,0.0002938588,0.0002511799,0.0005272942,0.0003457268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009990059,"about_ca_system_score_gemma":0.0001017084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001054445,"about_ca_topic_score_gemma":0.0002725316,"domain_scores_codex":[0.9999489,0.000008692299,0.000003029309,0.00001057465,0.00001357741,0.00001524553],"domain_scores_gemma":[0.9999697,0.000005827474,0.000009961902,0.000003788619,0.000004346309,0.000006341712],"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":[0.0001128793,0.00002640984,0.00005095964,0.0001506395,0.000009784445,0.00005836202,0.00001660139,0.0001029415,0.992535,0.0003805413,0.0001672802,0.006388559],"study_design_scores_gemma":[0.00001965728,0.0002990016,0.00101152,0.00001817887,0.00003862177,0.0002266752,0.000024448,0.000472168,0.9878185,0.0002056557,0.009855558,0.00001006947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538378,0.0167126,0.02044022,0.00083582,0.0003826548,0.0000664145,0.0004942704,0.0003871536,0.006843143],"genre_scores_gemma":[0.9792428,0.005236904,0.007792392,0.0003494217,0.00004533258,0.00004197099,0.0002313685,0.00004171608,0.007018122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002272168,"threshold_uncertainty_score":0.007601142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124309668891761,"score_gpt":0.2636915134481774,"score_spread":0.2512605465590013,"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."}}