{"id":"W2623831325","doi":"10.1021/acs.chemrev.7b00063","title":"Metal Sensing by DNA","year":2017,"lang":"en","type":"review","venue":"Chemical Reviews","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":929,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Deoxyribozyme; Aptamer; DNA; Chemistry; Nanotechnology; Computational biology; Nucleobase; Combinatorial chemistry; Biosensor; Metal ions in aqueous solution; Biomolecule; Metal; Genetics; Biochemistry; Biology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000417678,0.0006002574,0.00230536,0.00004025223,0.0001021605,0.00005850723,0.0005414451,0.0006854394,0.00000379331],"category_scores_gemma":[0.0007264633,0.0004162324,0.001521836,0.0000878054,0.0001957205,0.000003042508,0.0002863053,0.0003344028,0.00005708073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003875929,"about_ca_system_score_gemma":0.00007231094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000162302,"about_ca_topic_score_gemma":7.544864e-7,"domain_scores_codex":[0.9977722,0.0001246262,0.0007876547,0.0008236963,0.0001413519,0.0003504707],"domain_scores_gemma":[0.9976086,0.00001928949,0.000812553,0.001359819,0.00005227557,0.0001474539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001357966,0.00001524864,2.348473e-8,0.001741714,0.00009072708,0.000002740513,3.378038e-7,2.237997e-10,0.04456758,0.000001053112,0.03001395,0.9235653],"study_design_scores_gemma":[0.00003810118,0.00001960894,2.027904e-9,0.003600379,0.0007278252,0.00005664787,2.936996e-7,1.945755e-7,0.05957281,0.00001111003,0.9355056,0.0004674557],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004555567,0.9978388,0.0002119354,0.00001432623,0.00007418766,0.0004634761,0.00005432546,0.00003686342,0.001301512],"genre_scores_gemma":[0.000007762924,0.992953,0.002827356,0.0001070113,0.0005083714,0.00002007474,0.001520484,0.00006607573,0.001989888],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9230978,"threshold_uncertainty_score":0.9998289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0817482560434721,"score_gpt":0.404721555813443,"score_spread":0.3229732997699709,"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."}}