{"id":"W4408667506","doi":"10.1073/pnas.2419666122","title":"Redox dye–mediated fluorescence energy transfer of carbon nanotube–based nanosensors","year":2025,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Blanche Davis Moore Foundation; Chan Zuckerberg Initiative; Evelyn F. McKnight Brain Research Foundation; McKnight Foundation; Philomathia Foundation; Gordon and Betty Moore Foundation; Alfred P. Sloan Foundation; Camille and Henry Dreyfus Foundation; Burroughs Wellcome Fund; National Institutes of Health; National Science Foundation","keywords":"Nanosensor; Förster resonance energy transfer; Rational design; Fluorescence; Carbon nanotube; Nanotechnology; Materials science; Biomolecule; Molecular beacon; Quenching (fluorescence); Chemistry; Oligonucleotide","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":[0.0002134935,0.0003555955,0.0001649172,0.0002349749,0.0001495428,0.0002301389,0.0004252515,0.0004133705,0.000388487],"category_scores_gemma":[0.0004272714,0.0001843369,0.0001782093,0.0001292153,0.0001858251,0.000293055,0.0001873146,0.0003045393,0.0001890257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004690809,"about_ca_system_score_gemma":0.000130249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003805388,"about_ca_topic_score_gemma":0.0006285656,"domain_scores_codex":[0.9997707,0.00003609699,0.00001621385,0.00005264664,0.00009188429,0.00003252293],"domain_scores_gemma":[0.9998806,0.00003655093,0.00002795735,0.00001039925,0.00003013346,0.00001431067],"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":[0.00001156556,0.00001056406,0.00005734949,0.00001679394,0.000002152772,0.00001643796,0.000008556689,0.0002694879,0.9982862,0.0001300767,0.00001161613,0.001179318],"study_design_scores_gemma":[0.000001151558,0.00002497245,0.0001501372,7.689973e-7,0.000001525356,0.00001228404,0.000001967608,0.001647958,0.9978509,0.00002033701,0.0002857812,0.000002255278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615169,0.001002518,0.03505399,0.0001266858,0.00004188627,0.00007996913,0.0001407443,0.0002188557,0.001818436],"genre_scores_gemma":[0.9773691,0.0005213119,0.02050169,0.00005247218,0.00001010855,0.00006000369,0.0001365067,0.00002250387,0.001326332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004690809,"threshold_uncertainty_score":0.003403366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680351991080884,"score_gpt":0.2676547851739114,"score_spread":0.2508512652631025,"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."}}