{"id":"W4390608164","doi":"10.1002/cbic.202300656","title":"Selection and Characterization of DNA Aptamers for Cytidine and Uridine","year":2024,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Waterloo","keywords":"Aptamer; Cytidine; Uridine; Chemistry; Systematic evolution of ligands by exponential enrichment; Pyrimidine; Isothermal titration calorimetry; DNA; Biochemistry; Combinatorial chemistry; RNA; Biology; Molecular biology; Enzyme; Gene","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":[0.0002940037,0.0003853194,0.000398085,0.0003281532,0.0001382739,0.0003263064,0.0002318296,0.0003132376,0.0006818693],"category_scores_gemma":[0.0006544,0.0001631408,0.0001782071,0.0002714078,0.0001492518,0.0001286648,0.0002190812,0.0003202207,0.0004775324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782684,"about_ca_system_score_gemma":0.0001789505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000363011,"about_ca_topic_score_gemma":0.00057426,"domain_scores_codex":[0.9996403,0.00005722468,0.00003137652,0.00009947824,0.0001210107,0.00005061028],"domain_scores_gemma":[0.9997062,0.00006980683,0.00004994572,0.0000289715,0.00009216734,0.00005289173],"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":[0.00001075119,0.00000991368,0.00009832353,0.00001269862,0.000001668436,0.00001583872,0.000008997878,0.00007487147,0.9983078,0.00001771202,0.000009445897,0.001432023],"study_design_scores_gemma":[0.000003080096,0.00009367353,0.0006805013,0.000001625604,0.00000482079,0.0000896006,0.000005656703,0.0008437632,0.9975987,0.00001057466,0.0006646697,0.000003231409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293219,0.00114827,0.06642213,0.00007966182,0.00004284126,0.0002789408,0.0004608651,0.0002300848,0.002015317],"genre_scores_gemma":[0.9476833,0.0005120958,0.04565357,0.00009296511,0.00001241887,0.0001699696,0.0007648418,0.00006298174,0.005047835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006818693,"threshold_uncertainty_score":0.002281129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006558312275212264,"score_gpt":0.2526377325068711,"score_spread":0.2460794202316589,"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."}}