{"id":"W4310112977","doi":"10.1021/acs.est.2c05808","title":"Capture-SELEX of DNA Aptamers for Estradiol Specifically and Estrogenic Compounds Collectively","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Isothermal titration calorimetry; Dissociation constant; Chemistry; Estrone; DNA; Biosensor; SELEX Aptamer Technique; Combinatorial chemistry; Biology; Biochemistry; Molecular biology; 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":[0.0002076151,0.0001155061,0.0001507767,0.0001921738,0.0003405795,0.000006900371,0.0003110224,0.00007751896,0.000003745653],"category_scores_gemma":[0.00002433779,0.0001134237,0.00006003973,0.0003933797,0.001931516,0.00000457344,0.0003066303,0.0001003907,2.307898e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009018784,"about_ca_system_score_gemma":0.00004387956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002509561,"about_ca_topic_score_gemma":0.000001868055,"domain_scores_codex":[0.9989483,0.00001696246,0.0001614957,0.0004550824,0.0001717336,0.0002464158],"domain_scores_gemma":[0.9995886,0.000007833926,0.0001089425,0.0002392544,0.000009352927,0.0000459795],"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":[0.00003614989,0.00006888178,0.002480153,0.00000127643,0.00001496209,0.000001037763,0.00001633872,0.000005862642,0.9951745,0.0001958285,0.00007688563,0.001928183],"study_design_scores_gemma":[0.0002488972,0.0007847688,0.001974326,0.000001304139,0.00001738929,0.00008299792,0.0008679598,0.00007088079,0.9847296,0.0004142401,0.010659,0.0001486173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979278,0.0001622412,0.001171494,0.000211621,0.0000289736,0.0002304713,0.00006806626,0.00002626426,0.0001731127],"genre_scores_gemma":[0.992168,0.00006315141,0.007505865,0.0000564295,0.00001252148,0.00003903377,0.00002269785,0.000009440704,0.0001228722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01058211,"threshold_uncertainty_score":0.7116749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006031519109171084,"score_gpt":0.2259562761433226,"score_spread":0.2199247570341515,"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."}}