{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003329374,0.0005624919,0.0004479978,0.0002530164,0.000222435,0.0003177568,0.0002854126,0.0005136411,0.001170861],"category_scores_gemma":[0.0005147071,0.0002541334,0.0003110601,0.0001778213,0.0002195938,0.0002147511,0.0003511235,0.0006274882,0.0004561394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000286696,"about_ca_system_score_gemma":0.0001127361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004101834,"about_ca_topic_score_gemma":0.00064586,"domain_scores_codex":[0.9993871,0.0001218542,0.00004858037,0.0002199151,0.0001298037,0.00009255935],"domain_scores_gemma":[0.9996611,0.0001113251,0.0000819811,0.00004455867,0.00005495695,0.00004612246],"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":[0.00001624406,0.000006636433,0.00004688217,0.00001160409,0.000003110659,0.00002096532,0.00001423447,0.00003544053,0.9989931,0.00001946058,0.00001036414,0.0008219944],"study_design_scores_gemma":[0.000005808373,0.0001266365,0.0006524097,0.000002555815,0.0000111549,0.0001698785,0.000007296033,0.0005535847,0.9971446,0.00002111137,0.001300104,0.000004789142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709474,0.002437413,0.02308607,0.0001332822,0.0001188435,0.0001200625,0.0001025337,0.000176726,0.002877552],"genre_scores_gemma":[0.9801583,0.0008289544,0.01390013,0.0003382379,0.00003318003,0.0001186215,0.0002628528,0.0000882279,0.004271485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001170861,"threshold_uncertainty_score":0.003916979,"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."}}