{"id":"W4416401582","doi":"10.1039/d5nr04649a","title":"Cornea-SELEX-derived DNA aptamers for preparing spherical nucleic acids and corneal staining","year":2025,"lang":"en","type":"article","venue":"Nanoscale","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Innovation and Technology Commission; Canada Research Chairs","keywords":"Aptamer; Nucleic acid; Corneal epithelium; Stain; Drug delivery; Dissociation constant; Fluorescein; Cornea; DNA","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":[0.0004208219,0.0004878597,0.0003285266,0.0003147361,0.0001860918,0.0004180789,0.0002265879,0.0003119804,0.001702519],"category_scores_gemma":[0.000535685,0.0002687174,0.0003227585,0.0002961626,0.0001797064,0.000237445,0.0003839109,0.0003489808,0.001136093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546583,"about_ca_system_score_gemma":0.0003100874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000473046,"about_ca_topic_score_gemma":0.001253226,"domain_scores_codex":[0.99978,0.00003967496,0.00002409368,0.00004992979,0.00007436879,0.00003196442],"domain_scores_gemma":[0.9998449,0.00005383402,0.00002604043,0.00002054558,0.00003573934,0.00001891972],"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":[0.00003506763,0.00002366243,0.000170457,0.00005817271,0.000008727717,0.00008269129,0.00004138886,0.0006869148,0.9897014,0.0001415359,0.00009969956,0.008950241],"study_design_scores_gemma":[0.000004222205,0.00004741735,0.0001882566,0.00000253625,0.000005329947,0.00007689545,0.00001198739,0.00105134,0.9966988,0.0000303143,0.00187872,0.000004091518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7221051,0.001915966,0.261148,0.0002480064,0.0001108577,0.00102844,0.001681265,0.001416625,0.01034558],"genre_scores_gemma":[0.7318211,0.002277238,0.2429149,0.0002387639,0.00001386585,0.0006065872,0.002326835,0.0006045387,0.0191962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001702519,"threshold_uncertainty_score":0.005695462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008520952122534361,"score_gpt":0.2712692723177871,"score_spread":0.2627483201952527,"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."}}