{"id":"W2083733102","doi":"10.1021/ac5029962","title":"In Vitro Selection of a New Lanthanide-Dependent DNAzyme for Ratiometric Sensing Lanthanides","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Chemistry; Lanthanide; Deoxyribozyme; Selection (genetic algorithm); In vitro; Combinatorial chemistry; Environmental chemistry; Nanotechnology; Biochemistry; Organic chemistry; DNA; Ion","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":[0.0006632986,0.0007902518,0.0009246785,0.0003211501,0.0001262159,0.0005730155,0.0007605148,0.0009021509,0.0007359613],"category_scores_gemma":[0.0008896595,0.0003995022,0.0004454296,0.0003717916,0.0002914965,0.0003243301,0.0004995788,0.0009256331,0.00112613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003666172,"about_ca_system_score_gemma":0.0001887411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000204944,"about_ca_topic_score_gemma":0.0003180872,"domain_scores_codex":[0.9992286,0.0001747993,0.00008117683,0.0002337693,0.0001936347,0.00008804294],"domain_scores_gemma":[0.9995264,0.0001543553,0.0001033215,0.00004838156,0.00008723803,0.00008042494],"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":[0.000010053,0.000008215384,0.00003152627,0.00001672638,0.000002287879,0.000006557394,0.000004119825,0.00002985801,0.9993225,0.00001945662,0.00000745445,0.0005412935],"study_design_scores_gemma":[0.000003814776,0.00005746892,0.0001196365,0.000002160405,0.000004675379,0.00005961308,0.000003765385,0.0004073622,0.9986209,0.00001206867,0.0007058313,0.000002795439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7322984,0.003350304,0.2598377,0.0003365968,0.0001465999,0.0004299048,0.0006056853,0.001122832,0.001872034],"genre_scores_gemma":[0.7342914,0.00215637,0.2528138,0.0002045702,0.00004137197,0.000505766,0.002093817,0.0003508313,0.007542013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009246785,"threshold_uncertainty_score":0.003507912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169672603827481,"score_gpt":0.2847794125653892,"score_spread":0.2730826865271144,"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."}}