{"id":"W2143650625","doi":"10.1002/anie.201506312","title":"Binding‐Induced DNA Nanomachines Triggered by Proteins and Nucleic Acids","year":2015,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Innovates; Alberta Health; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Oligonucleotide; DNA; Nucleic acid; Aptamer; Biophysics; Ligand (biochemistry); DNA nanotechnology; Nanotechnology; Chemistry; Combinatorial chemistry; Biology; Biochemistry; Materials science; Molecular biology; Receptor","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":[0.000149931,0.0001386521,0.000111667,0.00005729945,0.00005304529,0.00004363486,0.0001144034,0.0001384977,0.000005428603],"category_scores_gemma":[0.0001410254,0.0001236165,0.00005601976,0.00006772078,0.00006033525,0.00001737001,0.00006646515,0.00006994182,0.000003650443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003494369,"about_ca_system_score_gemma":0.00002912869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001766079,"about_ca_topic_score_gemma":0.000009056629,"domain_scores_codex":[0.9992118,0.00001820482,0.0001642907,0.0002884442,0.0001925454,0.0001246814],"domain_scores_gemma":[0.9994993,0.00000613759,0.0001041017,0.0001303306,0.000173024,0.00008708176],"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":[0.00006221407,0.00004651578,0.0002494042,0.000003432968,0.00005343754,0.000001707426,0.00002179427,1.195126e-7,0.9805103,0.00001359281,0.01803877,0.0009987318],"study_design_scores_gemma":[0.0004589803,0.000135351,0.00008408633,0.00001669301,0.00001868665,0.00002176528,0.00005283832,0.00001410281,0.9674999,0.0002243786,0.03131639,0.0001568647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951799,0.0001393993,0.001480454,0.0008056405,0.0002806864,0.0001251086,0.0001273462,0.00005859417,0.001802892],"genre_scores_gemma":[0.9953614,0.0001015851,0.001116687,0.00020544,0.0007374895,0.00002028627,0.001478166,0.00001591987,0.0009630361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327762,"threshold_uncertainty_score":0.5040936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564257137197555,"score_gpt":0.2751630201044544,"score_spread":0.2595204487324788,"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."}}