{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005819167,0.001072679,0.0007675699,0.0004840546,0.0002094679,0.0007014076,0.0005667245,0.0005238064,0.001100249],"category_scores_gemma":[0.0009543742,0.0003594466,0.0004890185,0.0004565171,0.0003018024,0.0003096301,0.0008324712,0.0006037802,0.0007800756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003483304,"about_ca_system_score_gemma":0.0002633385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003913528,"about_ca_topic_score_gemma":0.000805055,"domain_scores_codex":[0.9995477,0.00007784527,0.0000392627,0.000139286,0.0001221723,0.00007368366],"domain_scores_gemma":[0.9997514,0.0001025838,0.00003672839,0.00002870274,0.00005208028,0.00002855161],"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":[0.0001515565,0.0001219172,0.000601207,0.0001382742,0.00005244279,0.0002583556,0.0001278941,0.003501426,0.9759324,0.0003519827,0.0002909597,0.01847157],"study_design_scores_gemma":[0.00001348586,0.0001368973,0.000417265,0.00000862197,0.00002421444,0.0001604769,0.0000289789,0.004327885,0.9918261,0.00007960255,0.002965206,0.00001132079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8503458,0.002039704,0.1375585,0.0002665634,0.0001174428,0.0008605157,0.001192053,0.0008187058,0.006800684],"genre_scores_gemma":[0.8714453,0.001992596,0.09787999,0.0004544199,0.00002448021,0.0009450078,0.003166023,0.0002808791,0.02381119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001100249,"threshold_uncertainty_score":0.003680706,"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."}}