{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006264037,0.0009706689,0.0005232128,0.0006357803,0.0002512833,0.0005816427,0.001238394,0.001447545,0.0005783891],"category_scores_gemma":[0.0006469014,0.0006319673,0.0004599018,0.0003345065,0.0004480915,0.0008186205,0.0009823836,0.0008799474,0.000741737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003465753,"about_ca_system_score_gemma":0.000258238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002067818,"about_ca_topic_score_gemma":0.0002687031,"domain_scores_codex":[0.9988219,0.0001681935,0.00006744941,0.0002741007,0.0005754069,0.00009294801],"domain_scores_gemma":[0.9996189,0.0001060196,0.0001036349,0.00003796984,0.00007631201,0.00005717871],"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":[0.00004201124,0.00002442214,0.00008403663,0.00006422723,0.00000786748,0.00006263801,0.00002686707,0.0001788722,0.9916434,0.0002711737,0.0001377283,0.007456752],"study_design_scores_gemma":[0.000006322044,0.0001668238,0.000218149,0.00000318444,0.000009311033,0.0002835129,0.00000737864,0.003609884,0.9936005,0.00005869839,0.002017353,0.00001881462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.446905,0.008278798,0.5313328,0.0007037169,0.0006978827,0.0007582799,0.0004126916,0.00463785,0.006272998],"genre_scores_gemma":[0.6556942,0.001966459,0.3334082,0.0005391566,0.000157899,0.0005210296,0.0004190021,0.0001180151,0.007176017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001447545,"threshold_uncertainty_score":0.003312767,"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."}}