{"id":"W4387011727","doi":"10.1002/cbic.202300566","title":"Cross‐Binding of Adenosine by Aptamers Selected Using Theophylline","year":2023,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Global Water Futures; Canada First Research Excellence Fund","keywords":"Theophylline; Aptamer; Adenosine; Isothermal titration calorimetry; Adenosine receptor; Chemistry; Binding site; Caffeine; DNA; Biochemistry; Nucleic acid; Biophysics; Biology; Molecular biology; Receptor; Pharmacology","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":[0.0001583689,0.0001766939,0.0002092377,0.00007861968,0.00007610107,0.0000161808,0.0001727991,0.000189966,0.00000520059],"category_scores_gemma":[0.0001306081,0.0001663418,0.0001148477,0.0007160436,0.0001733396,0.00000358847,0.0001080361,0.00008214746,0.0000045778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001755946,"about_ca_system_score_gemma":0.00003866927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007107712,"about_ca_topic_score_gemma":7.81377e-7,"domain_scores_codex":[0.9989315,0.00002107566,0.0002581674,0.0003642712,0.0001433688,0.0002816622],"domain_scores_gemma":[0.9992672,0.00001115356,0.000151895,0.0003202634,0.000188338,0.00006115644],"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":[0.00003659571,0.00003371823,0.001142532,0.00002076417,0.00006348574,0.000001439236,0.00001154311,0.000007169927,0.9962467,0.000003517618,0.001857174,0.000575393],"study_design_scores_gemma":[0.0002417868,0.0000735359,0.0002191505,0.00002149997,0.0000289587,0.000006220437,0.00004547238,0.0002994417,0.9971684,0.00001399298,0.001681924,0.0001996266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987748,0.0002125414,0.0004865415,0.0000361429,0.00003773981,0.00008166474,0.00005968284,0.00009726429,0.0002136338],"genre_scores_gemma":[0.9953761,0.0001661722,0.001950366,0.00004174809,0.000104891,0.000003080502,0.0006896976,0.0000322106,0.001635704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003398659,"threshold_uncertainty_score":0.6783223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279595278135003,"score_gpt":0.2997691455810921,"score_spread":0.2869731927997421,"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."}}