{"id":"W4413444388","doi":"10.1016/j.bios.2025.117863","title":"Thermal drying synthesized density-tunable and high stability nonthiolated spherical nucleic acids for split aptamer and lateral flow biosensors","year":2025,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Major Science and Technology Projects of China; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; National Science and Technology Major Project; China Scholarship Council; Canada Foundation for Innovation","keywords":"Aptamer; Nucleic acid; Biosensor; Thermal stability; Chemistry; Nanotechnology; Materials science; Chemical engineering; Organic chemistry; Biochemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003039197,0.0004114945,0.0003068559,0.0002557961,0.0001552711,0.000219326,0.0003479356,0.0004694511,0.000605804],"category_scores_gemma":[0.0005337796,0.0002446495,0.0002521187,0.0001917859,0.0002443819,0.0003348486,0.0002675012,0.0005050398,0.0006237306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003717301,"about_ca_system_score_gemma":0.0002442822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005488432,"about_ca_topic_score_gemma":0.001443002,"domain_scores_codex":[0.9996973,0.00003867822,0.00002359464,0.00007749854,0.0001331996,0.00002968782],"domain_scores_gemma":[0.9997308,0.00005293931,0.00007112786,0.00002504855,0.00009005477,0.00002998099],"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":[0.000006294379,0.000003860343,0.00001998796,0.00001599044,8.311002e-7,0.000009115884,0.000009074276,0.00007753387,0.9986281,0.00007487685,0.00001391384,0.001140392],"study_design_scores_gemma":[0.000001964537,0.00003103376,0.0001323587,0.000001066902,0.000001652513,0.00002962567,0.000005469885,0.001311554,0.9976368,0.00001996387,0.0008241409,0.000004304686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7664871,0.001564939,0.2275698,0.0002042289,0.0001250038,0.000228445,0.0002980789,0.0008365943,0.002685769],"genre_scores_gemma":[0.8549002,0.0007263449,0.139682,0.0001040349,0.0000182767,0.0001665928,0.0003483823,0.0001332551,0.003920885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000605804,"threshold_uncertainty_score":0.002697051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006649852261512166,"score_gpt":0.2373217346562897,"score_spread":0.2306718823947776,"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."}}