{"id":"W4386223316","doi":"10.1002/smo.20230007","title":"Capture‐SELEX for a short aptamer for label‐free detection of salicylic acid","year":2023,"lang":"en","type":"article","venue":"Smart Molecules","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Waterloo","keywords":"Aptamer; Isothermal titration calorimetry; Systematic evolution of ligands by exponential enrichment; Salicylic acid; Chemistry; Thioflavin; Detection limit; Biochemistry; Titration; Molecular biology; Chromatography; Biology; Gene; RNA","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":[0.0006957587,0.001053869,0.0009220554,0.0004986961,0.0003088044,0.0006349999,0.0005578737,0.0006884568,0.002431117],"category_scores_gemma":[0.0007375168,0.0004239918,0.0006006941,0.0003718708,0.0002816286,0.0002864515,0.0006334794,0.0007867729,0.001877145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003537789,"about_ca_system_score_gemma":0.0002591106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002969633,"about_ca_topic_score_gemma":0.0005965667,"domain_scores_codex":[0.9994215,0.00009186821,0.00005778131,0.0001488929,0.0001968992,0.00008303401],"domain_scores_gemma":[0.9996394,0.0001388063,0.00005624172,0.00005135338,0.00006684152,0.00004735743],"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":[0.00009150016,0.00007864957,0.0002095339,0.00007150492,0.00003290947,0.0001493352,0.00004363203,0.0008997413,0.9895679,0.0001189004,0.0002944341,0.0084419],"study_design_scores_gemma":[0.00001591379,0.0001616108,0.0004450453,0.000004723817,0.00002359392,0.0001835315,0.00001276494,0.003281253,0.9929131,0.00004740915,0.002897136,0.00001404516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7087669,0.001275123,0.2786915,0.0003436184,0.000196826,0.001106652,0.002307635,0.002358669,0.004953023],"genre_scores_gemma":[0.8002183,0.0009908832,0.1675256,0.0005734583,0.00003804378,0.001148771,0.00446398,0.0006898072,0.02435123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002431117,"threshold_uncertainty_score":0.008132935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769801291753683,"score_gpt":0.2910191556266181,"score_spread":0.2733211427090813,"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."}}