{"id":"W4220832236","doi":"10.1002/anse.202200010","title":"Selection of DNA Aptamers for Sensing Uric Acid in Simulated Tears","year":2022,"lang":"en","type":"article","venue":"Analysis & Sensing","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Uric acid; Chemistry; Hyperuricemia; Hypoxanthine; Biosensor; Gout; Detection limit; Isothermal titration calorimetry; Dendrimer; Biochemistry; DNA; Xanthine; Urate oxidase; Chromatography; Molecular biology; Enzyme; Biology","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":[0.0004385453,0.0004736621,0.0003413063,0.0003056932,0.0001429689,0.0003449,0.0002600376,0.0004861784,0.0004505423],"category_scores_gemma":[0.000784888,0.0002267794,0.000218185,0.0002423622,0.0001720744,0.0001736344,0.000250308,0.0002995327,0.0003616833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002279163,"about_ca_system_score_gemma":0.0001238215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003057509,"about_ca_topic_score_gemma":0.0004433233,"domain_scores_codex":[0.9995034,0.0001551358,0.00004452135,0.0001198075,0.0001246774,0.00005247018],"domain_scores_gemma":[0.9996501,0.00009355337,0.00007758517,0.00002415301,0.000105101,0.0000494655],"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":[0.000020481,0.000009301472,0.00007408433,0.00001292598,0.000001780364,0.00001306873,0.00001311345,0.00006555925,0.9991153,0.000009535636,0.000007918599,0.0006568505],"study_design_scores_gemma":[0.000003879228,0.00008736853,0.0002303591,0.000001860221,0.000003871533,0.00004084693,0.000008940907,0.0007581427,0.9984779,0.000008295178,0.000375203,0.000003197869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647099,0.001123619,0.03274114,0.0001145754,0.00005068806,0.0001614987,0.0002184515,0.000171702,0.000708402],"genre_scores_gemma":[0.9603037,0.0004218627,0.03639736,0.00009158422,0.00001181278,0.0001627197,0.0002833228,0.00003504522,0.002292654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004861784,"threshold_uncertainty_score":0.002319276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008115261346647508,"score_gpt":0.2707068604406652,"score_spread":0.2625915990940177,"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."}}