{"id":"W4388034300","doi":"10.1002/anie.202315185","title":"A Colorimetric Biosensing Platform with Aptamers, Rolling Circle Amplification and Urease‐Mediated Litmus Test","year":2023,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Aptamer; Rolling circle replication; Litmus; Biosensor; Urease; Streptavidin; Chemistry; Biotinylation; Nanotechnology; Colorimetry; Multiplex; Combinatorial chemistry; DNA; Chromatography; Molecular biology; Materials science; Urea; Biotin; Biochemistry; Biology; DNA 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001492581,0.0001292083,0.0001069738,0.0001948469,0.00009788818,0.00005086105,0.00007890174,0.00012121,0.000002504314],"category_scores_gemma":[0.0003150215,0.0001213157,0.00004374063,0.0004140701,0.00008935811,0.00001999022,0.00004491544,0.00008189704,0.000007034577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000392765,"about_ca_system_score_gemma":0.00002772782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001999494,"about_ca_topic_score_gemma":0.00001711353,"domain_scores_codex":[0.9991158,0.000007461414,0.0001691011,0.0003355521,0.0002102764,0.0001618081],"domain_scores_gemma":[0.9993863,0.00006449276,0.0001259217,0.0001413796,0.0002187782,0.0000631836],"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":[0.00007131921,0.00004104302,0.001564773,0.000008489681,0.00006712366,0.000006965777,0.00001827338,0.000005479113,0.9929849,0.00001049303,0.001842523,0.003378597],"study_design_scores_gemma":[0.0003650505,0.0001240188,0.005007022,0.00003822164,0.00003014616,0.00003271634,0.0001020663,0.0003702618,0.9882529,0.0001032747,0.005401307,0.0001729557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912562,0.0001009423,0.005904401,0.0008954729,0.0002142696,0.000189564,0.000176497,0.0002237133,0.001038951],"genre_scores_gemma":[0.9939764,0.0004989828,0.001182037,0.0001789326,0.0005858385,0.00001278346,0.003384197,0.00001888403,0.0001619348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00473196,"threshold_uncertainty_score":0.494711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351336766845803,"score_gpt":0.2603740439897907,"score_spread":0.2468606763213327,"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."}}