{"id":"W2766594038","doi":"10.1002/cbic.201700498","title":"Ultrasensitive DNAzyme‐Based Ca<sup>2+</sup> Detection Boosted by Ethanol and a Solvent‐Compatible Scaffold for Aptazyme Design","year":2017,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Waterloo","keywords":"Deoxyribozyme; Aptamer; Biosensor; Metal ions in aqueous solution; Chemistry; DNA; Selectivity; Detection limit; Combinatorial chemistry; G-quadruplex; Aqueous solution; Solvent; Ethanol; Nanotechnology; Biophysics; Ion; Biochemistry; Chromatography; Organic chemistry; Materials science; Molecular biology; Biology","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":[0.0002135699,0.0004954101,0.0002669572,0.0001749037,0.00007784727,0.0003236311,0.0005146766,0.0003701432,0.0004426632],"category_scores_gemma":[0.0002797772,0.0002271625,0.0001821197,0.0001482419,0.0002986128,0.0003715713,0.0002004058,0.0003759493,0.0003590213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003509299,"about_ca_system_score_gemma":0.0001762885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004743858,"about_ca_topic_score_gemma":0.000685105,"domain_scores_codex":[0.9998453,0.00002374537,0.00001455372,0.00004619268,0.00005229392,0.00001790921],"domain_scores_gemma":[0.9998649,0.00002977688,0.00003942166,0.000009985682,0.00004089708,0.00001496026],"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":[0.00001434363,0.000005533178,0.00002691688,0.00001671152,0.000001426066,0.00001179913,0.00000321507,0.0001134664,0.9989036,0.00007026099,0.00001246807,0.0008201892],"study_design_scores_gemma":[0.000002887572,0.00001967149,0.00006548359,5.725722e-7,0.000001472124,0.00001603206,0.000001213121,0.0007582135,0.9988238,0.000008438571,0.0003008039,0.000001483699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8820972,0.002654091,0.1114021,0.0002907118,0.000117112,0.000138153,0.0002014624,0.0006846146,0.002414495],"genre_scores_gemma":[0.9029596,0.0009943169,0.09203889,0.0000998102,0.00001856314,0.0000892724,0.0001765205,0.00004989146,0.003573154],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0005146766,"threshold_uncertainty_score":0.002546251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971877503528348,"score_gpt":0.2777306007923087,"score_spread":0.2580118257570252,"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."}}