{"id":"W4402615272","doi":"10.1039/d4ob00622d","title":"DNA aptamers for common buffer molecules: possibility of buffer interference in SELEX","year":2024,"lang":"en","type":"article","venue":"Organic & Biomolecular Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Aptamer; Buffer (optical fiber); Systematic evolution of ligands by exponential enrichment; DNA; Interference (communication); Chemistry; Nanotechnology; Biology; Genetics; Materials science; Computer science; RNA; Biochemistry; Computer network","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":[0.001762565,0.001168609,0.0007358309,0.0004568279,0.0004450128,0.001068172,0.0008583411,0.001066413,0.002799657],"category_scores_gemma":[0.002317286,0.0006116002,0.0003852542,0.0004108344,0.000553873,0.0009063256,0.0008603041,0.001374923,0.0009918067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003714775,"about_ca_system_score_gemma":0.0004443185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002438293,"about_ca_topic_score_gemma":0.0009092626,"domain_scores_codex":[0.9986229,0.0004082946,0.0001234443,0.0003362711,0.000371398,0.0001376711],"domain_scores_gemma":[0.998665,0.0007825486,0.0001434312,0.0001198126,0.0001536683,0.0001355214],"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":[0.00006355543,0.00005065738,0.0002464565,0.00008085859,0.00001703082,0.0001056314,0.00006872996,0.0002175413,0.9951234,0.000321355,0.0001165983,0.003588005],"study_design_scores_gemma":[0.000009880511,0.00007554905,0.0001636089,0.000007571837,0.00001780581,0.00007862251,0.00002271945,0.0009643814,0.9969149,0.0001020325,0.001637509,0.000005429538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8175138,0.004402844,0.1671054,0.001063811,0.0005278509,0.000529857,0.0006546387,0.001033044,0.007168801],"genre_scores_gemma":[0.8702468,0.00171622,0.1146199,0.001156098,0.0000519374,0.0007232174,0.0009606482,0.0004155552,0.01010967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002799657,"threshold_uncertainty_score":0.009365797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007146396037006399,"score_gpt":0.2747458753961274,"score_spread":0.267599479359121,"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."}}