{"id":"W4414078635","doi":"10.1016/j.biomaterials.2025.123690","title":"Resolve and regulate: Alum nanoplatform coordinating STING availability and agonist delivery for enhanced anti-tumor immunotherapy","year":2025,"lang":"en","type":"article","venue":"Biomaterials","topic":"interferon and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; State Key Laboratory of Biochemical Engineering; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Chinese Academy of Sciences; National Natural Science Foundation of China; National Key Research and Development Program of China; Canadian Anesthesiologists' Society; Maryland Humanities Council","keywords":"Sting; Stimulator of interferon genes; Agonist; Immunotherapy; Cancer immunotherapy; TLR7; Tumor microenvironment; Chemokine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001987212,0.0003482032,0.0001562646,0.0001710081,0.0001882682,0.0004054452,0.000200945,0.0004100376,0.001703124],"category_scores_gemma":[0.000217018,0.0001549775,0.0001411951,0.00007886262,0.000189046,0.0005086947,0.0003451448,0.000423274,0.0004588985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003226333,"about_ca_system_score_gemma":0.0003234763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000277797,"about_ca_topic_score_gemma":0.0007975948,"domain_scores_codex":[0.9998834,0.00001243898,0.00001013434,0.00002926658,0.00003362798,0.00003116466],"domain_scores_gemma":[0.9999045,0.0000183851,0.00003281527,0.000008898181,0.0000202195,0.00001519347],"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":[0.00005943602,0.0000212615,0.00008415792,0.0000346798,0.000002647814,0.00002028908,0.0000116819,0.0002222949,0.9959436,0.0002688819,0.0001195698,0.003211483],"study_design_scores_gemma":[0.00000886976,0.0001179138,0.0001884929,0.000004195615,0.000006525062,0.00004070397,0.00001517378,0.003395224,0.9945516,0.00008126788,0.001585369,0.000004630705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581525,0.002016865,0.03344999,0.000503604,0.000273103,0.0001302563,0.0001784565,0.000492335,0.004802928],"genre_scores_gemma":[0.9803137,0.0006882376,0.0141667,0.0002674731,0.00005601394,0.00004546559,0.00008457184,0.00004930623,0.0043286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001703124,"threshold_uncertainty_score":0.005697489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108034604324071,"score_gpt":0.2609619419796311,"score_spread":0.250158481547224,"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."}}