{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005718259,0.0005674461,0.0003972347,0.0002780442,0.000171833,0.0004688324,0.0003583615,0.0004405622,0.001051745],"category_scores_gemma":[0.0006955764,0.0003071978,0.0002412623,0.0003647875,0.0002282519,0.0002394089,0.0003509406,0.0005823153,0.001107468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270473,"about_ca_system_score_gemma":0.0001870176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002801284,"about_ca_topic_score_gemma":0.0005256402,"domain_scores_codex":[0.9993975,0.0001579901,0.00005884462,0.0001340188,0.0001729897,0.00007864877],"domain_scores_gemma":[0.999504,0.0002011665,0.00008350195,0.00005186544,0.00009926926,0.00006016807],"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":[0.00002608957,0.00001649579,0.00004771896,0.00002718584,0.000003079001,0.00002131224,0.00001397345,0.0001826325,0.9979359,0.00007656051,0.00003750215,0.001611565],"study_design_scores_gemma":[0.000004164178,0.0001018903,0.0001016552,0.000003123894,0.000005609737,0.0000648624,0.000006877974,0.001209753,0.9962303,0.00003487272,0.00223203,0.000004858144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7155758,0.00550187,0.2705129,0.0004463183,0.0003626076,0.0007193536,0.0008829479,0.001024557,0.004973514],"genre_scores_gemma":[0.8207945,0.003055097,0.1632666,0.0003469225,0.00006510528,0.0004401886,0.002109844,0.0002426093,0.009679193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001051745,"threshold_uncertainty_score":0.003518462,"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."}}