{"id":"W4408858711","doi":"10.1021/acsnano.4c17080","title":"Leveraging Vitamin C to Augment Nanoenabled Photothermal Immunotherapy","year":2025,"lang":"en","type":"article","venue":"ACS Nano","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Response Biomedical (Canada)","funders":"Anhui Provincial Key Research and Development Plan; National Key Research and Development Program of China; Natural Science Foundation of Anhui Province; Major Science and Technology Projects in Anhui Province; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Photothermal therapy; Immunotherapy; Immune system; Cancer research; T cell; Photosensitizer; Tumor microenvironment; Vitamin C; Immunology; Medicine; Chemistry; Materials science; Internal medicine; Nanotechnology","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":[0.00009888957,0.0002310725,0.0001494865,0.0002058338,0.00009531816,0.0002768277,0.0001874457,0.0003493608,0.0009874117],"category_scores_gemma":[0.0001154698,0.00007645592,0.0001837303,0.0001024681,0.0001800237,0.000260567,0.0002262731,0.0003490632,0.0001719289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501319,"about_ca_system_score_gemma":0.0001802525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004837096,"about_ca_topic_score_gemma":0.000971223,"domain_scores_codex":[0.9999355,0.000009280734,0.000003340462,0.00002114033,0.00001604087,0.00001463187],"domain_scores_gemma":[0.9999591,0.00001188364,0.00001053714,0.000004423109,0.000006683844,0.000007465852],"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":[0.0001194055,0.00003960967,0.0001056114,0.0001480976,0.000007349545,0.00003623418,0.00001335483,0.000263669,0.9893042,0.0003248527,0.0001131151,0.009524611],"study_design_scores_gemma":[0.00001906303,0.0002936496,0.0002899538,0.00001382088,0.00001707913,0.00008536357,0.00001197879,0.001145915,0.9911723,0.0001213009,0.006823188,0.000006401804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439149,0.01486007,0.03274349,0.0005882047,0.0001993963,0.0001451542,0.0003336567,0.0003299006,0.006885183],"genre_scores_gemma":[0.9791207,0.003452653,0.01392866,0.0001520912,0.00002040607,0.00006054213,0.00009917586,0.00002426356,0.003141481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009874117,"threshold_uncertainty_score":0.00330323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005599586234313052,"score_gpt":0.2134950996372365,"score_spread":0.2078955134029234,"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."}}