{"id":"W2078670754","doi":"10.1002/chem.201304292","title":"Arrest of Rolling Circle Amplification by Protein‐Binding DNA Aptamers","year":2014,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Rolling circle replication; Aptamer; Multiple displacement amplification; DNA polymerase; Polymerase; DNA; Biology; Molecular biology; Computational biology; Biophysics; Genetics; Polymerase chain reaction; Gene; DNA extraction","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":[0.000298606,0.0003691217,0.0002658746,0.0001934462,0.0001272964,0.0004044532,0.0002981011,0.0002620386,0.0005148204],"category_scores_gemma":[0.0005269528,0.0002266834,0.0001896803,0.0001434276,0.0003398604,0.0002845022,0.0002069054,0.0005018136,0.0005166181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002800102,"about_ca_system_score_gemma":0.0002151409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003953799,"about_ca_topic_score_gemma":0.000394266,"domain_scores_codex":[0.9995851,0.00007457351,0.00002668753,0.00009923359,0.000154849,0.00005956602],"domain_scores_gemma":[0.9995903,0.0001785844,0.00009354902,0.00005069262,0.00005526798,0.00003153478],"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":[0.00002804772,0.000008277617,0.00007405287,0.00001698075,0.000002055524,0.00001665895,0.00002404798,0.0001290769,0.9974993,0.0002299813,0.00002939443,0.001942175],"study_design_scores_gemma":[0.000001653682,0.00003199389,0.0001045474,8.923703e-7,0.000001579891,0.00002038356,0.000002133263,0.001301173,0.997605,0.00002345163,0.0009051114,0.000002097531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9124502,0.002581482,0.0772771,0.0001697582,0.00008675031,0.0001288954,0.0001278875,0.0006968247,0.006481044],"genre_scores_gemma":[0.9820749,0.0006295161,0.01358886,0.000051567,0.00001637725,0.00005547765,0.0001362818,0.00004174872,0.003405269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005148204,"threshold_uncertainty_score":0.002031624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007148765672474588,"score_gpt":0.2256048842323054,"score_spread":0.2184561185598308,"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."}}