{"id":"W4416696381","doi":"10.1021/jacs.5c12435","title":"Autonomous Exponential Amplification via Rolling Circle–DNAzyme Feedback Programming","year":2025,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China; Postdoctoral Science Foundation of Hubei Province; Science and Technology Foundation of Shenzhen City","keywords":"Rolling circle replication; Nucleic acid; DNA; Loop-mediated isothermal amplification; Exponential function; Sensitivity (control systems); Exponential growth; Multiple displacement amplification; Deoxyribozyme","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008635256,0.0007405543,0.0004410134,0.0003271857,0.0001805749,0.0006741051,0.001067955,0.0005481591,0.0007843542],"category_scores_gemma":[0.001553004,0.0004687559,0.0003821166,0.000284058,0.000637824,0.0005995598,0.0006169925,0.0008814747,0.0005763636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004509492,"about_ca_system_score_gemma":0.0004056332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003693788,"about_ca_topic_score_gemma":0.0003639929,"domain_scores_codex":[0.9991075,0.0001330881,0.00004710582,0.0003276765,0.0003024672,0.00008193999],"domain_scores_gemma":[0.999356,0.0002740127,0.0001366442,0.00006504395,0.00012548,0.00004287376],"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":[0.0001167491,0.00006360283,0.0003412256,0.0001173333,0.0000149298,0.00008244157,0.00007340832,0.003332827,0.9577521,0.002461344,0.000415269,0.03522866],"study_design_scores_gemma":[0.00002265217,0.0001477458,0.0001775738,0.000006172781,0.000009323448,0.0001081014,0.000007215935,0.0506446,0.9444321,0.0004105245,0.004005941,0.00002802175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.201278,0.00141486,0.78796,0.0003067672,0.0001661522,0.000339216,0.0001716555,0.004699699,0.003663608],"genre_scores_gemma":[0.7620837,0.0007600838,0.2309815,0.0002029681,0.00004278147,0.0003902413,0.0001956583,0.0001624783,0.005180475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001067955,"threshold_uncertainty_score":0.004566789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006215526352084069,"score_gpt":0.2666143956064653,"score_spread":0.2603988692543812,"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."}}