{"id":"W4243420497","doi":"10.1002/ange.201700054","title":"A DNAzyme Feedback Amplification Strategy for Biosensing","year":2017,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"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; Biosensor; Primer (cosmetics); DNA; Template; Cleavage (geology); RNA; Multiple displacement amplification; Nanotechnology; Chemistry; Combinatorial chemistry; Computational biology; Biology; Materials science; Polymerase chain reaction; Polymerase; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003780601,0.0006851905,0.0003499363,0.0003240318,0.0001959544,0.0005319871,0.0008544673,0.0007417925,0.001268154],"category_scores_gemma":[0.0004883205,0.0003023415,0.0003240334,0.0001926278,0.0003628669,0.0004942479,0.0004906387,0.0009362962,0.0007377149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005913447,"about_ca_system_score_gemma":0.0003293523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004030212,"about_ca_topic_score_gemma":0.0004413819,"domain_scores_codex":[0.9995338,0.00006549315,0.00002705883,0.0001457231,0.0001803427,0.00004757813],"domain_scores_gemma":[0.999783,0.00006714977,0.00004192774,0.00001859571,0.00005870585,0.00003061511],"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":[0.00002105792,0.00002485554,0.0000403151,0.00004867958,0.000004592378,0.00004342144,0.00001525598,0.0003195024,0.9907697,0.001179922,0.0001339584,0.007398792],"study_design_scores_gemma":[0.00001150294,0.0000856955,0.00008019589,0.000003533131,0.000005886668,0.0001049959,0.000004504951,0.005048307,0.9898322,0.0002506529,0.004562361,0.00001021356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3139825,0.005036008,0.6645636,0.001210328,0.0008848918,0.0004523805,0.0003509394,0.002267764,0.0112517],"genre_scores_gemma":[0.7906662,0.001282967,0.2004825,0.0004821275,0.0000831881,0.0002524518,0.0001957186,0.00007456577,0.006480284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001268154,"threshold_uncertainty_score":0.004290462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03917626534213704,"score_gpt":0.3227495319964691,"score_spread":0.283573266654332,"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."}}