{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002009283,0.0001569519,0.0001946519,0.0001008278,0.00008057407,0.00001089383,0.0001619695,0.0001760461,3.642357e-7],"category_scores_gemma":[0.0002173245,0.0001421205,0.0002020286,0.0001762306,0.0000828367,0.0000028928,0.00007288852,0.00004205881,0.000001018399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001054213,"about_ca_system_score_gemma":0.00002788733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001165024,"about_ca_topic_score_gemma":0.0001421341,"domain_scores_codex":[0.999042,0.00002285064,0.0002176441,0.0003419699,0.00009959085,0.0002759387],"domain_scores_gemma":[0.9993085,0.00001953699,0.00007387831,0.0003884386,0.0001614799,0.00004811977],"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":[0.0001196193,0.00002701487,0.00004591836,0.00003753104,0.00008517746,5.077849e-7,0.000009062878,0.000002911838,0.9844223,0.00007700067,0.003127184,0.0120458],"study_design_scores_gemma":[0.000319064,0.0003018131,0.0001466884,0.0000113441,0.00006424681,0.000003463807,0.00004695533,0.0004130464,0.9614916,0.0005211347,0.03650862,0.0001720109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8121271,0.0005028424,0.1847335,0.0005688068,0.0001885139,0.0009636497,0.0004249228,0.0002212569,0.0002694736],"genre_scores_gemma":[0.9856462,0.00009932528,0.01295634,0.0001578936,0.0001372412,0.0001356566,0.000376319,0.00003600627,0.0004549564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1735192,"threshold_uncertainty_score":0.5795505,"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."}}