{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007403198,0.00008168258,0.00009334389,0.00003736806,0.00002670058,0.00001435692,0.00002154496,0.00008314177,4.782431e-7],"category_scores_gemma":[0.00002314581,0.00007330387,0.00003572892,0.00007837207,0.0000510068,0.000003595042,0.00002398171,0.00002526704,8.590248e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005138405,"about_ca_system_score_gemma":0.00001273898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.046528e-7,"about_ca_topic_score_gemma":0.000001164495,"domain_scores_codex":[0.999562,0.000004948362,0.0001016651,0.0002202148,0.0000334678,0.00007776748],"domain_scores_gemma":[0.9998177,0.000005821286,0.00003392078,0.00006651181,0.00004961008,0.00002641355],"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":[0.00002724538,0.000009078397,0.0000619991,0.00008920168,0.00003505897,1.307277e-7,0.00001022919,2.767966e-8,0.9923919,0.00006193628,0.0001003602,0.00721281],"study_design_scores_gemma":[0.0001008428,0.0001278552,0.0001694754,0.00002766181,0.00003683868,0.00001125478,0.00001038742,0.000433371,0.9920036,0.00004927356,0.006943024,0.00008640085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969042,0.0002737675,0.00244695,0.0001533127,0.00002449271,0.00009894662,0.00002309975,0.00002897493,0.00004628742],"genre_scores_gemma":[0.9971534,0.0005622911,0.001590194,0.0000331685,0.0001120103,0.000008026082,0.0002133007,0.00001209138,0.0003155381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00712641,"threshold_uncertainty_score":0.2989245,"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."}}