{"id":"W4226441215","doi":"10.1039/d2sd00042c","title":"Comparing two cortisol aptamers for label-free fluorescent and colorimetric biosensors","year":2022,"lang":"en","type":"article","venue":"Sensors & Diagnostics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"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; Biosensor; Fluorescence; Colorimetry; DNA; Chemistry; Nanotechnology; Biophysics; Computational biology; Biology; Biochemistry; Molecular biology; Chromatography; Materials science; Optics; Physics","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":[0.001201701,0.0009232686,0.0007679167,0.0003493218,0.0002866154,0.0008673436,0.001054484,0.001825166,0.00099141],"category_scores_gemma":[0.001982437,0.0004385622,0.0005257562,0.0002932302,0.0004677984,0.0005337343,0.0005617603,0.001065653,0.0006665739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006553556,"about_ca_system_score_gemma":0.0002515995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000614611,"about_ca_topic_score_gemma":0.001000341,"domain_scores_codex":[0.9971905,0.0007060492,0.0001674357,0.0005122853,0.001115942,0.0003076309],"domain_scores_gemma":[0.9985794,0.0005947282,0.0001306782,0.000115535,0.0004188352,0.0001608193],"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":[0.0001294512,0.00002287191,0.00007336028,0.00006266249,0.000008300295,0.00002581052,0.00002722237,0.00009740267,0.9979987,0.0000511389,0.0000205195,0.001482574],"study_design_scores_gemma":[0.00001371823,0.0002060631,0.0004238527,0.000004486367,0.00001502281,0.0001300204,0.00002381071,0.000842941,0.997597,0.00003907201,0.0006922971,0.0000117029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9026978,0.005944626,0.08624287,0.0006976741,0.000661055,0.0002810987,0.0003711476,0.0004170904,0.002686657],"genre_scores_gemma":[0.9330875,0.001423393,0.05982618,0.0005141244,0.00008382843,0.0002141757,0.0005064781,0.00007004769,0.004274264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001825166,"threshold_uncertainty_score":0.006355286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857871778834128,"score_gpt":0.2805280314500327,"score_spread":0.2619493136616914,"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."}}