{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005619928,0.0009695806,0.0007220485,0.0004919277,0.0002150612,0.0004703814,0.001319494,0.001342538,0.0004778112],"category_scores_gemma":[0.0004650537,0.0005934617,0.0004398268,0.0002829536,0.0005391337,0.0004526609,0.0007705623,0.0006921352,0.0006566704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000642866,"about_ca_system_score_gemma":0.0002165075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000254976,"about_ca_topic_score_gemma":0.0004287472,"domain_scores_codex":[0.9992279,0.0001410223,0.00004025419,0.0002474261,0.0002550661,0.00008843165],"domain_scores_gemma":[0.9998389,0.00004235757,0.00003443869,0.00002875644,0.00002338096,0.00003212103],"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":[0.00001447368,0.00001075567,0.00003260664,0.00008146389,0.000006133248,0.00006395546,0.00001242906,0.0002225408,0.9964474,0.0003083185,0.0000580941,0.002741723],"study_design_scores_gemma":[0.000007929149,0.00007312254,0.0001353052,0.000004478128,0.000008121101,0.0002114082,0.000003759543,0.001845508,0.9955864,0.00009999661,0.002013989,0.000009971821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.490842,0.01046834,0.4877271,0.0006202282,0.0003411257,0.0007173896,0.0005112232,0.00207922,0.006693238],"genre_scores_gemma":[0.6879794,0.004915793,0.2996522,0.0003812931,0.0001025602,0.0004245692,0.0005176077,0.000101401,0.005925176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001342538,"threshold_uncertainty_score":0.004664361,"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."}}