{"id":"W4387948517","doi":"10.1021/acs.analchem.3c03787","title":"Multiplexed SELEX for Sulfonamide Antibiotics Yielding a Group-Specific DNA Aptamer for Biosensors","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Chemistry; Sulfadimethoxine; Antibiotics; Detection limit; Chromatography; Combinatorial chemistry; RNA; Molecular biology; Biochemistry; 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":[0.0009537979,0.0008817919,0.0007830215,0.0005063639,0.0002135886,0.0007549094,0.0005424515,0.0006920868,0.0006702284],"category_scores_gemma":[0.0008191566,0.0003612412,0.0005002655,0.0003335194,0.0003463779,0.0004161958,0.0007527224,0.0007067661,0.0004464281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003863485,"about_ca_system_score_gemma":0.0002293293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002356864,"about_ca_topic_score_gemma":0.0005219723,"domain_scores_codex":[0.9992956,0.0001202299,0.00006038635,0.0001962135,0.0002561462,0.00007139163],"domain_scores_gemma":[0.9996934,0.00009950287,0.00006134943,0.00003145593,0.00007779184,0.00003647741],"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":[0.0000446504,0.00005568636,0.0002804446,0.00005327395,0.00002399203,0.00009628008,0.00006309267,0.0008057752,0.9913346,0.0001391131,0.00007387522,0.007029202],"study_design_scores_gemma":[0.000008013556,0.0001318267,0.0003873582,0.00000346747,0.00001523658,0.0001448219,0.00002723332,0.005151659,0.992802,0.00006733456,0.001249036,0.0000119339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8406581,0.001362537,0.1540935,0.0002683958,0.0001095294,0.0004057195,0.0004323362,0.0006649185,0.002004966],"genre_scores_gemma":[0.8555266,0.001318604,0.1328277,0.0002537935,0.00002209529,0.0004689894,0.0008243229,0.0001379167,0.008619906],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009537979,"threshold_uncertainty_score":0.005044222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02702046631620296,"score_gpt":0.3018394131740188,"score_spread":0.2748189468578158,"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."}}