{"id":"W4411370786","doi":"10.1002/ange.202507973","title":"Enhancing Clinical Detection Accuracy of Large Structured Viral RNA via DNAzyme Cleavage and Antisense‐Assisted Rolling Circle Amplification","year":2025,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"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":"Deoxyribozyme; Rolling circle replication; Cleavage (geology); RNA; Chemistry; Virology; Ribozyme; Molecular biology; Biology; DNA; Gene; Biochemistry; 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":[0.001795994,0.0006668539,0.0004390171,0.0004274124,0.0001299449,0.0007647509,0.0004623375,0.000881948,0.0007313295],"category_scores_gemma":[0.002994232,0.0003432342,0.0003025777,0.0002665523,0.000459112,0.0003534937,0.0003379184,0.0006730295,0.0004705693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005178023,"about_ca_system_score_gemma":0.0005029099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006684908,"about_ca_topic_score_gemma":0.0008215773,"domain_scores_codex":[0.9981555,0.0006110374,0.00009808059,0.0004322064,0.0005861502,0.0001170216],"domain_scores_gemma":[0.9988058,0.0005085241,0.0002194391,0.00007910129,0.0003394308,0.0000477174],"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":[0.0002232643,0.0000372377,0.0008394307,0.0001084406,0.00001516584,0.00004087422,0.00005340794,0.0003344001,0.9861202,0.0001719302,0.0002182295,0.01183737],"study_design_scores_gemma":[0.00001792821,0.0003421851,0.0009747843,0.00001042842,0.00002847687,0.0002016021,0.00001660271,0.00831994,0.9883356,0.00007724026,0.001660007,0.0000152544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7664804,0.01008289,0.2149821,0.0009751509,0.0005000177,0.0004855599,0.0006615213,0.001325802,0.00450647],"genre_scores_gemma":[0.9236327,0.001238454,0.07267743,0.0002907782,0.00006718833,0.0001902935,0.000258851,0.0000516029,0.001592636],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001795994,"threshold_uncertainty_score":0.009498239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218469657209849,"score_gpt":0.3163941965363374,"score_spread":0.3042094999642389,"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."}}