{"id":"W4416340840","doi":"10.1002/anie.202513763","title":"Physically Masked Nanoflares for Accurate Biological Applications by Blocking Nucleases","year":2025,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Nucleic acid; Oligonucleotide; Decoy; DNA; In vivo; Nanocages; Biomolecule; Limiting","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":[0.0002574194,0.0004661857,0.0002135607,0.0001219093,0.0001260705,0.0002498261,0.0003118677,0.0005459274,0.0005625053],"category_scores_gemma":[0.0003705304,0.000245442,0.0002233086,0.0000791733,0.0002552095,0.0003958079,0.0003200379,0.0004418647,0.0003881401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002767462,"about_ca_system_score_gemma":0.0002816402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002374797,"about_ca_topic_score_gemma":0.0004526009,"domain_scores_codex":[0.999805,0.00002296595,0.00001844767,0.00005976351,0.00006845453,0.0000253362],"domain_scores_gemma":[0.9998192,0.00004695648,0.00005918977,0.00002067971,0.00003791705,0.00001608981],"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":[0.000008985242,0.000003053744,0.0000147637,0.00002449379,0.00000127309,0.00001026068,0.000006414834,0.00005040079,0.9991215,0.0001032708,0.00001481259,0.000640812],"study_design_scores_gemma":[0.000002573432,0.00004159175,0.0001154895,0.000002090403,0.000002966743,0.00004387698,0.000003186742,0.0007940331,0.9977232,0.0000330756,0.001234407,0.000003526749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8456554,0.00434628,0.1448971,0.000347534,0.0002030572,0.0001541023,0.0002816601,0.0007305988,0.003384294],"genre_scores_gemma":[0.8848862,0.00155547,0.1095917,0.0002006858,0.00003122238,0.0001669294,0.0002739463,0.00007589345,0.00321797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005625053,"threshold_uncertainty_score":0.002007902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152446868255283,"score_gpt":0.3017334520347429,"score_spread":0.2902089833521901,"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."}}