{"id":"W2899771982","doi":"10.1021/acsomega.8b02039","title":"Reselection Yielding a Smaller and More Active Silver-Specific DNAzyme","year":2018,"lang":"en","type":"article","venue":"ACS Omega","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deoxyribozyme; Mutant; Nucleotide; Population; Purine; Statistic; Chemistry; RNA; Cleavage (geology); Selectivity; Selection (genetic algorithm); Biology; Enzyme; Biochemistry; Computational biology; Catalysis; Computer science; Medicine; Mathematics; DNA; Gene; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000852621,0.000115759,0.0001015075,0.00005542977,0.000143587,0.00002605581,0.00007374673,0.0001405423,0.000001072868],"category_scores_gemma":[0.00004645071,0.0001009742,0.00004020556,0.000143022,0.0001660919,0.000006095823,0.00008045011,0.00008047703,0.00000318688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001432871,"about_ca_system_score_gemma":0.00001322815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001259133,"about_ca_topic_score_gemma":0.00003573539,"domain_scores_codex":[0.999284,0.00002293727,0.0001044915,0.0003268998,0.00008234796,0.0001793409],"domain_scores_gemma":[0.9995477,0.000008772103,0.0000531835,0.0002246268,0.0001187694,0.00004694571],"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":[0.00008758435,0.00001727684,0.0003277561,0.00000225911,0.00003542946,0.00000155266,0.00004472641,1.97071e-7,0.9824817,0.00003386656,0.003587056,0.01338055],"study_design_scores_gemma":[0.0001330136,0.0002412366,0.001274797,0.000009861342,0.00001147987,0.00001716328,0.0001126701,0.00001481877,0.9340945,0.0001217998,0.06382794,0.0001407484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968379,0.0002416728,0.0008785881,0.0002502229,0.00004595036,0.00007378872,0.000004820824,0.00004265042,0.00162437],"genre_scores_gemma":[0.9961131,0.0004189595,0.00186209,0.0002217845,0.0004181978,0.000004932051,0.00002800396,0.00001407869,0.0009189147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06024088,"threshold_uncertainty_score":0.411761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148497793780913,"score_gpt":0.278427241482589,"score_spread":0.2635774621044977,"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."}}