{"id":"W2018807526","doi":"10.1016/j.ab.2011.03.010","title":"DNA aptamers for as analytical tools for the quantitative analysis of DNA-dealkylating enzymes","year":2011,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; AlkB; Nucleic acid; DNA; Biochemistry; Biology; Chemistry; Computational biology; DNA repair; Molecular 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":[0.0009323246,0.00084546,0.000504871,0.0005614779,0.0002451511,0.001039576,0.0005890547,0.0009910965,0.00181812],"category_scores_gemma":[0.001039483,0.0005004501,0.0003260193,0.000444168,0.0004846106,0.0008225075,0.0004449007,0.001542233,0.001094843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006402053,"about_ca_system_score_gemma":0.0004036674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000190271,"about_ca_topic_score_gemma":0.0005675288,"domain_scores_codex":[0.9990822,0.0002285811,0.00004427146,0.0002285674,0.0003324647,0.0000838687],"domain_scores_gemma":[0.9994978,0.0001934897,0.00009610782,0.0000599302,0.00008717673,0.00006539829],"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":[0.00009899758,0.00001832669,0.0001314595,0.00008768985,0.000008160014,0.00003829502,0.00002998767,0.0001494088,0.9876091,0.001663892,0.0001868565,0.00997785],"study_design_scores_gemma":[0.000007330656,0.00004656039,0.0001691133,0.000007707265,0.000008377589,0.0001155036,0.00000681513,0.001313239,0.9932203,0.0004659602,0.004633625,0.000005337348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2391921,0.01798677,0.7307066,0.001505843,0.0008250962,0.0003214137,0.001071342,0.002182572,0.006208263],"genre_scores_gemma":[0.605544,0.008962829,0.3543841,0.001189527,0.0001990399,0.0003890117,0.001271615,0.0003161819,0.02774374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00181812,"threshold_uncertainty_score":0.006082237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05000054104907893,"score_gpt":0.3425251310010335,"score_spread":0.2925245899519546,"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."}}