{"id":"W2138613437","doi":"10.1002/anie.200800960","title":"A Highly Selective DNAzyme Sensor for Mercuric Ions","year":2008,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":315,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Deoxyribozyme; Mercury (programming language); Divalent; Chemistry; Nucleobase; Cofactor; Combinatorial chemistry; Ion; Metal; Enzyme; Biochemistry; DNA; Computer science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002447902,0.0003561457,0.0002977707,0.0002098915,0.0001287863,0.0003527391,0.0005272487,0.000892263,0.0009862281],"category_scores_gemma":[0.000288561,0.0002359875,0.0001586692,0.0001401217,0.0002680289,0.0002977605,0.0003554676,0.0006087027,0.0006245771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002997818,"about_ca_system_score_gemma":0.0001426439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000144217,"about_ca_topic_score_gemma":0.0002106672,"domain_scores_codex":[0.9996961,0.00003447885,0.000009499651,0.00009436307,0.0001164134,0.00004907664],"domain_scores_gemma":[0.9998349,0.00003432772,0.00003534182,0.00001341647,0.00003862242,0.00004327577],"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":[0.00001514223,0.000003926012,0.00006880284,0.0000160277,0.000001931547,0.00002405603,0.00001050017,0.0000152788,0.9985336,0.00009881056,0.00005950785,0.001152449],"study_design_scores_gemma":[0.000003725303,0.00004731965,0.0002745381,0.000001238226,0.000002740649,0.0001661996,0.000004970062,0.0003314326,0.9977148,0.00003144716,0.001418591,0.000003152371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9069197,0.003429952,0.08012426,0.0007519842,0.000218162,0.00008763731,0.0005769086,0.001332852,0.006558557],"genre_scores_gemma":[0.949366,0.001070689,0.04169086,0.0002842745,0.0000639277,0.00007635231,0.0004400747,0.00005232037,0.006955605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009862281,"threshold_uncertainty_score":0.003299236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492829716434327,"score_gpt":0.2786001771103208,"score_spread":0.2636718799459775,"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."}}