{"id":"W2332364903","doi":"10.1021/acssensors.5b00306","title":"In Vitro Selection in Serum: RNA-Cleaving DNAzymes for Measuring Ca<sup>2+</sup> and Mg<sup>2+</sup>","year":2016,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; University of Waterloo; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Deoxyribozyme; DNA; RNA; Chemistry; Bioanalysis; In vitro; Molecular biology; Computational biology; Biochemistry; Gene; Nanotechnology; Biology; 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":[0.0006114047,0.0008321928,0.0004898401,0.0001876591,0.00009369496,0.0004299802,0.0003427646,0.0004800626,0.0007144719],"category_scores_gemma":[0.0006902329,0.000283672,0.0002974581,0.0001992278,0.0002760226,0.0001927249,0.0003328171,0.0006293896,0.0008989169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002513691,"about_ca_system_score_gemma":0.000226023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003835621,"about_ca_topic_score_gemma":0.0006675228,"domain_scores_codex":[0.9993456,0.0002005154,0.0000578176,0.0001477559,0.0001855724,0.00006267308],"domain_scores_gemma":[0.999472,0.0001779562,0.0001522859,0.00004701589,0.00009703846,0.00005387952],"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":[0.00001802446,0.000004635053,0.0001302998,0.00001690658,0.000002328117,0.00001104335,0.000007453043,0.00002334323,0.998672,0.00001288732,0.00001184349,0.001089214],"study_design_scores_gemma":[0.000001785692,0.00005371532,0.0003219046,0.000001739585,0.000005216538,0.00006510461,0.000004424968,0.0002402599,0.9987131,0.000008082677,0.0005828809,0.000001744699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8197036,0.004079522,0.1718321,0.0002998318,0.00009614804,0.0002525599,0.0005332847,0.0007825313,0.002420453],"genre_scores_gemma":[0.8713448,0.002872037,0.1164324,0.0002881846,0.00003178548,0.0002614963,0.001054862,0.0002290834,0.007485306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008321928,"threshold_uncertainty_score":0.003233492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138691129820786,"score_gpt":0.2516690786390698,"score_spread":0.240282167340862,"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."}}