{"id":"W4398139105","doi":"10.1002/ange.202402808","title":"Surface‐Based Multimeric Aptamer Generation and Bio‐Functionalization for Electrochemical Biosensing Applications","year":2024,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Aptamer; Biosensor; Analyte; Rolling circle replication; Surface modification; Chemistry; Nanotechnology; Combinatorial chemistry; Monomer; Detection limit; Biophysics; Materials science; DNA; Chromatography; Biochemistry; Molecular biology; Polymerase; Biology; Polymer","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":[0.0004350805,0.0006119066,0.000279627,0.0002739728,0.0000997481,0.0002733475,0.0003028536,0.0004970671,0.0007585948],"category_scores_gemma":[0.0003695278,0.0002326008,0.0002875962,0.0002146215,0.000175148,0.0003063836,0.0002602023,0.0004747832,0.000474101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002349039,"about_ca_system_score_gemma":0.0001398122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001611696,"about_ca_topic_score_gemma":0.0002538844,"domain_scores_codex":[0.9997453,0.00004864234,0.00002497864,0.000077158,0.00007130343,0.00003262838],"domain_scores_gemma":[0.999846,0.00003390772,0.000039525,0.00002224503,0.00004307149,0.00001520354],"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":[0.000005004985,0.000005863128,0.00003923996,0.00001891071,0.000002017868,0.00001089997,0.000006141799,0.00007434367,0.9980051,0.00006110464,0.00002592166,0.001745506],"study_design_scores_gemma":[0.000001463247,0.00004516987,0.0002598583,0.00000123269,0.000003157958,0.0000540957,0.000003977419,0.001014011,0.9976623,0.00002920733,0.000922596,0.000002842853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7824641,0.00451349,0.2082086,0.0004305063,0.0002155562,0.0002514872,0.0003066358,0.0007243365,0.002885229],"genre_scores_gemma":[0.9007155,0.001476662,0.09426959,0.000165896,0.00003599902,0.0001309808,0.0002593722,0.00004544436,0.002900574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007585948,"threshold_uncertainty_score":0.002537727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878552854991629,"score_gpt":0.2886150338711284,"score_spread":0.2698295053212121,"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."}}