{"id":"W4230706833","doi":"10.1002/ange.201915675","title":"Target Self‐Enhanced Selectivity in Metal‐Specific DNAzymes","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Waterloo","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada","keywords":"Deoxyribozyme; Selectivity; Rational design; Chemistry; Metal ions in aqueous solution; Moiety; Ligand (biochemistry); Combinatorial chemistry; Metal; Stereochemistry; Catalysis; Nanotechnology; DNA; Materials science; Organic chemistry; Biochemistry","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":[0.0004006661,0.0002916641,0.0003111559,0.0002143837,0.00008300155,0.0004062395,0.0004206713,0.0004099428,0.000581211],"category_scores_gemma":[0.0003853794,0.0002195544,0.0001641113,0.0001893937,0.0002548339,0.0002515636,0.000242832,0.0004866316,0.000445398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005218409,"about_ca_system_score_gemma":0.0001448272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002476264,"about_ca_topic_score_gemma":0.0004939893,"domain_scores_codex":[0.9996318,0.00006456889,0.00002327253,0.0001130727,0.000110156,0.00005720127],"domain_scores_gemma":[0.9997708,0.0000581774,0.00006415267,0.00002015762,0.000050336,0.00003648076],"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":[0.00002555654,0.000009021353,0.00005533041,0.00002020062,0.000002845169,0.0000148689,0.000007806988,0.0001502083,0.9980155,0.0001553337,0.00003737364,0.001505837],"study_design_scores_gemma":[0.000006333871,0.00004198166,0.0001392023,7.578037e-7,0.00000209142,0.0000575664,0.000001934173,0.00101815,0.9979097,0.00002653326,0.0007930137,0.000002606361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346234,0.001957095,0.05860268,0.0002471379,0.00007785348,0.000105128,0.0002176816,0.000656012,0.003513059],"genre_scores_gemma":[0.9754543,0.0003426847,0.02121449,0.0001082274,0.00001329843,0.00005120037,0.0001518553,0.00004187972,0.002622065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000581211,"threshold_uncertainty_score":0.003786206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006932319197283457,"score_gpt":0.2410109563096038,"score_spread":0.2340786371123203,"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."}}