{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006679104,0.0001259946,0.0001039557,0.00006571053,0.0001256909,0.00001157136,0.0001092615,0.0001228185,0.000005709885],"category_scores_gemma":[0.0001417124,0.0001190613,0.0001430646,0.00008622349,0.00007828736,0.00001034254,0.00003156599,0.00006367089,0.000003821194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004680601,"about_ca_system_score_gemma":0.00003769513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008760743,"about_ca_topic_score_gemma":0.000008582189,"domain_scores_codex":[0.9992383,0.00001060561,0.0001591965,0.0002942083,0.0001503642,0.0001473956],"domain_scores_gemma":[0.9993473,0.00002071697,0.00009377045,0.0001310438,0.0003615459,0.00004559313],"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":[0.00007900885,0.00006379086,0.0001206197,0.000003424427,0.00009503824,0.000002882166,0.00002016366,0.000003801797,0.9526113,0.00005669057,0.04667134,0.000271905],"study_design_scores_gemma":[0.0003022734,0.0001029747,0.0002641547,0.000009412078,0.00002274622,0.00005967824,0.00002072486,0.00002935121,0.9301304,0.0003138032,0.06859839,0.0001461309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7816473,0.0003601616,0.196741,0.00463834,0.00166929,0.0007944919,0.001103414,0.0003302963,0.01271575],"genre_scores_gemma":[0.9874207,0.0002781956,0.006390329,0.0004344415,0.001749031,0.00005780154,0.001852562,0.00001698175,0.001799969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2057734,"threshold_uncertainty_score":0.4855178,"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."}}