{"id":"W2047035792","doi":"10.1002/smll.200700757","title":"Enzymatic Cleavage of Nucleic Acids on Gold Nanoparticles: A Generic Platform for Facile Colorimetric Biosensors","year":2008,"lang":"en","type":"article","venue":"Small","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Innovation Trust","keywords":"Deoxyribozyme; Nucleic acid; DNA; Biosensor; Colloidal gold; Cleavage (geology); Chemistry; Enzyme; Analyte; Molecular beacon; RNA; Endonuclease; Combinatorial chemistry; Biochemistry; Nanotechnology; Nanoparticle; Oligonucleotide; Chromatography; Materials science","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":[0.0001251475,0.000180166,0.0002501907,0.0001311824,0.00008100463,0.000006825112,0.0001616991,0.0001558226,0.000001163054],"category_scores_gemma":[0.0001391914,0.0001524103,0.0001870817,0.0003160891,0.0001389596,0.000003257966,0.00004923997,0.00005818392,0.000006675066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002122736,"about_ca_system_score_gemma":0.00003595167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008212064,"about_ca_topic_score_gemma":0.000008354948,"domain_scores_codex":[0.9989674,0.00002204513,0.0002960963,0.0003228796,0.0001190088,0.0002725577],"domain_scores_gemma":[0.9992889,0.00003336755,0.0001500986,0.000366133,0.00009066294,0.00007087705],"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":[0.0001562744,0.0001324631,0.0003343077,0.00002991414,0.00005893901,0.000004154411,0.00003313138,0.00001167661,0.9947237,0.00005630961,0.002011211,0.002447955],"study_design_scores_gemma":[0.0004138462,0.001132988,0.0003961552,0.00001477655,0.0000362853,0.00002104338,0.00005619819,0.0001130895,0.9909357,0.00005457229,0.006628967,0.0001963986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979312,0.0001727763,0.0007418216,0.00002615561,0.00004923183,0.0002676631,0.00005081441,0.00004633064,0.0007139812],"genre_scores_gemma":[0.9855071,0.0001993041,0.01320032,0.0001771066,0.0000811952,0.00001875786,0.0000552626,0.000025089,0.0007359007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0124585,"threshold_uncertainty_score":0.6215113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03527566681930545,"score_gpt":0.2584272762459565,"score_spread":0.223151609426651,"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."}}