{"id":"W2601600255","doi":"10.1002/anie.201700054","title":"A DNAzyme Feedback Amplification Strategy for Biosensing","year":2017,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Research and Innovation Foundation; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Deoxyribozyme; Rolling circle replication; Cleave; Primer (cosmetics); DNA; Biosensor; Template; RNA; Cleavage (geology); Nanotechnology; Computational biology; Biology; Biological system; Chemistry; Materials science; Genetics; Polymerase; Gene","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":[0.0001249349,0.000119373,0.00009228667,0.00003941224,0.0002304871,0.000143175,0.0002237234,0.0001278521,0.000007579411],"category_scores_gemma":[0.0002012832,0.0001160068,0.0001125479,0.00001841801,0.00009882969,0.00002230793,0.00005361392,0.00004893824,0.000006373729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000308162,"about_ca_system_score_gemma":0.00002351496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001431201,"about_ca_topic_score_gemma":0.00002167478,"domain_scores_codex":[0.9992574,0.000006650313,0.0001705199,0.0003054581,0.0001247659,0.0001351577],"domain_scores_gemma":[0.9990751,0.00001012279,0.0002312219,0.000340788,0.0003023831,0.00004034191],"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":[0.00007106223,0.00003404743,0.0001356906,0.000006620091,0.00005299845,5.870614e-7,0.000004407892,0.00000353668,0.9828511,0.0001419678,0.01194423,0.004753785],"study_design_scores_gemma":[0.0003238638,0.00006092827,0.0009691744,0.00002375513,0.00001815114,0.000009232457,0.00002153672,0.00008730347,0.9608606,0.0009307945,0.03654964,0.000145026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5303398,0.000248686,0.4137858,0.01047425,0.003239247,0.001160806,0.001102076,0.0002365135,0.03941278],"genre_scores_gemma":[0.990079,0.0001094673,0.004534405,0.0001962537,0.001869022,0.00001789563,0.001794265,0.00001589041,0.001383801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4597392,"threshold_uncertainty_score":0.4730621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264451971755179,"score_gpt":0.3297799337061064,"score_spread":0.2971354139885546,"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."}}