{"id":"W2941202356","doi":"10.1002/anie.201901192","title":"In Vitro Selection of Circular DNA Aptamers for Biosensing Applications","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Aptamer; DNA; Computational biology; Circular DNA; Biology; Systematic evolution of ligands by exponential enrichment; Rolling circle replication; Molecular biology; Genetics; RNA; Gene; DNA replication; Genome","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":[0.0001041548,0.00008162294,0.00009988268,0.00009587838,0.00001966188,0.000008164087,0.00007419663,0.00009784783,0.000005730942],"category_scores_gemma":[0.00003555202,0.00008568972,0.0000924524,0.0001073835,0.00003326297,0.00001182855,0.00001904165,0.0000433821,0.000001592813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004253785,"about_ca_system_score_gemma":0.00002140253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007422307,"about_ca_topic_score_gemma":0.000004656843,"domain_scores_codex":[0.9993793,0.000007794436,0.0001858105,0.0002250349,0.0001073663,0.00009470055],"domain_scores_gemma":[0.9995461,0.00001394875,0.0001191038,0.0001057192,0.0001969922,0.00001813115],"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":[0.00008190272,0.00004450874,0.0001749581,0.00001586791,0.0000348974,1.316726e-7,0.000005580213,0.000006338072,0.9981903,0.00004134806,0.0005545744,0.0008496205],"study_design_scores_gemma":[0.0002976657,0.00004026777,0.00009494609,0.00001448018,0.00001210753,0.00000577368,0.00003160305,0.000174313,0.9807754,0.0003281149,0.01813142,0.00009390515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111258,0.00006227448,0.08442482,0.0008021392,0.0005147961,0.0007740372,0.0002009025,0.00004629781,0.002048922],"genre_scores_gemma":[0.9936211,0.00005006009,0.004491823,0.0001639262,0.0004400218,0.0000367084,0.0009820722,0.00001087715,0.0002034364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08249526,"threshold_uncertainty_score":0.3494326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007658100326437521,"score_gpt":0.271768420954532,"score_spread":0.2641103206280944,"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."}}