{"id":"W4398138788","doi":"10.1002/anie.202402808","title":"Surface‐Based Multimeric Aptamer Generation and Bio‐Functionalization for Electrochemical Biosensing Applications","year":2024,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Aptamer; Biosensor; Analyte; Rolling circle replication; Surface modification; Chemistry; Nanotechnology; Detection limit; Combinatorial chemistry; Materials science; Biophysics; DNA; Chromatography; Molecular biology; Biochemistry; Biology; Polymerase","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":[0.0004439976,0.0006482608,0.0003118981,0.0003082472,0.0001122397,0.0003048341,0.0003568049,0.0005836558,0.0008541368],"category_scores_gemma":[0.0003686077,0.0002760602,0.0003315921,0.0002653897,0.0001900225,0.0003734937,0.0002750802,0.0005766868,0.0006146403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546583,"about_ca_system_score_gemma":0.0001592997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001640797,"about_ca_topic_score_gemma":0.000280401,"domain_scores_codex":[0.9996803,0.00005358817,0.00002889531,0.0000980409,0.0001000234,0.00003933402],"domain_scores_gemma":[0.9998566,0.0000331909,0.00003714802,0.00002215694,0.00003813028,0.00001275636],"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":[0.000005576462,0.000006555393,0.0000410582,0.00002871191,0.000002536289,0.00001457359,0.000008529982,0.00009137899,0.996534,0.00009170069,0.00003462641,0.003140758],"study_design_scores_gemma":[0.000001645643,0.00005582122,0.0002818214,0.000001711547,0.000004270687,0.00009061767,0.000005005235,0.001156005,0.9966825,0.00004567533,0.001670855,0.000004068952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.634638,0.007706102,0.3506428,0.0005210995,0.0002629866,0.0003601867,0.0003577464,0.0009011262,0.004609836],"genre_scores_gemma":[0.8443473,0.003194524,0.1468087,0.0002497791,0.00005093728,0.0002054077,0.000384704,0.00007755136,0.004681214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008541368,"threshold_uncertainty_score":0.002857387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633293188843403,"score_gpt":0.2960779502177469,"score_spread":0.2797450183293129,"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."}}