{"id":"W4412489177","doi":"10.1021/acsnano.5c06999","title":"<i>In Situ</i> Ultrasound-Triggered Bioluminescence for Combined Sono/Photodynamic Immunotherapy","year":2025,"lang":"en","type":"article","venue":"ACS Nano","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Advanced Education","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Photodynamic therapy; Bioluminescence imaging; Bioluminescence; Cancer research; Photosensitizer; Immune system; Biophysics; Aequorin; Biology; Materials science; Medicine; Chemistry; Luciferase; Immunology; Cell biology; Intracellular; Cell culture; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001323986,0.0002401708,0.0003101939,0.0002010794,0.00006748439,0.00004885297,0.0003483251,0.0001509717,0.00001807536],"category_scores_gemma":[0.0000428093,0.0002500734,0.0001012618,0.0005705458,0.00004529345,0.0001955752,0.00001700829,0.0001326664,0.00002477473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002573904,"about_ca_system_score_gemma":0.00006362014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000394605,"about_ca_topic_score_gemma":0.000122889,"domain_scores_codex":[0.9988758,0.000007883681,0.0003555215,0.0002274281,0.00009922851,0.0004341576],"domain_scores_gemma":[0.999226,0.0002607085,0.00003712156,0.0003938473,0.00004638319,0.0000359723],"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":[0.0001140217,0.00003952004,0.0002809839,0.00009408545,0.00006901228,0.000002097978,0.00009348984,0.0002933099,0.9940632,0.0006224163,0.002335155,0.001992732],"study_design_scores_gemma":[0.003880764,0.00008882867,0.000501938,0.0001261874,0.00002329809,0.000003528917,0.00004071128,0.001191055,0.9509432,0.003742333,0.03903553,0.000422681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793097,0.002040474,0.01272012,0.0001229877,0.002105813,0.0010673,0.00006759645,0.0003884281,0.002177542],"genre_scores_gemma":[0.9966035,0.0006750323,0.0008751578,0.0003503282,0.00004240955,0.0001635588,0.0000397415,0.00005742806,0.001192841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04312003,"threshold_uncertainty_score":0.9999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004631165184179453,"score_gpt":0.2229929149858661,"score_spread":0.2183617498016867,"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."}}