{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006117172,0.0001422166,0.0001500046,0.00002212649,0.0001323802,0.00004170277,0.0002426621,0.00005761274,0.000005680769],"category_scores_gemma":[0.0001716539,0.0001396392,0.000128981,0.0000848203,0.0001120299,0.000005408366,0.00005179635,0.0001901353,0.000003720144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001621235,"about_ca_system_score_gemma":0.00002129399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.538068e-7,"about_ca_topic_score_gemma":1.049171e-7,"domain_scores_codex":[0.9989306,0.000117415,0.0003453644,0.0002600108,0.0001464549,0.0002001631],"domain_scores_gemma":[0.9990847,0.000006035857,0.0003801805,0.0002952049,0.0001191726,0.0001146668],"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":[0.00002324287,0.00003305094,0.00008771003,0.00002078739,0.00003330301,0.000002314077,0.000009631656,0.000006580262,0.9880135,7.026392e-7,0.0006289699,0.01114022],"study_design_scores_gemma":[0.0002435492,0.00007092922,0.00007268012,0.00006770433,0.00002238751,0.00004650665,0.00005827717,0.0001214056,0.9840124,0.00001498677,0.01510126,0.0001678634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787902,0.00008016489,0.01909748,0.00006977194,0.00003150313,0.00004907657,0.00000943428,0.0000236286,0.001848777],"genre_scores_gemma":[0.9955984,0.00006455608,0.003376024,0.00003637127,0.0003559194,0.000001066277,0.00008192377,0.00003044683,0.0004552713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01680826,"threshold_uncertainty_score":0.569432,"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."}}