{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001303774,0.0001471857,0.0001419119,0.00002333934,0.0003192013,0.0001133022,0.0002078871,0.0001555419,0.000002086163],"category_scores_gemma":[0.0001260227,0.0001330502,0.0001285552,0.00002609897,0.0001315796,0.000007846824,0.00006509063,0.00004789873,0.000005178728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001340627,"about_ca_system_score_gemma":0.00002772691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001416584,"about_ca_topic_score_gemma":0.000029358,"domain_scores_codex":[0.9991916,0.000007595805,0.0001563176,0.0003569486,0.00006998562,0.0002174927],"domain_scores_gemma":[0.9989234,0.000007927569,0.0001829437,0.0006912299,0.0001362126,0.00005826579],"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":[0.00004405853,0.00002180227,0.0001811873,0.00001315068,0.00003491712,6.280338e-7,0.000004564722,8.295818e-7,0.991109,0.00003537054,0.00404282,0.004511681],"study_design_scores_gemma":[0.0002846255,0.00008109355,0.0005095346,0.00001625989,0.00002898609,0.000006769847,0.00002314469,0.00001211244,0.966972,0.0003202722,0.03155684,0.0001883369],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744316,0.000460574,0.01133111,0.001329692,0.0001632557,0.0005334902,0.00012154,0.0001002525,0.01152844],"genre_scores_gemma":[0.9900444,0.0001342398,0.006986309,0.0001624436,0.0003710869,0.00001040656,0.0002645865,0.00002192189,0.002004643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02751402,"threshold_uncertainty_score":0.5425631,"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."}}