{"id":"W2792128124","doi":"10.1039/c8ay00373d","title":"Screening of DNAzyme mutants for highly sensitive and selective detection of calcium in milk","year":2018,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Deoxyribozyme; Calcium; Mutant; Chemistry; Selectivity; Biochemistry; Gene; DNA","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":[0.0005482407,0.00009210499,0.0002464438,0.00009437242,0.0000266707,0.000002782482,0.0000387726,0.0001358861,1.6164e-7],"category_scores_gemma":[0.000542459,0.00007978334,0.00007851388,0.0002253633,0.0002501547,0.000002943211,0.00004030607,0.00005271873,3.370741e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008115125,"about_ca_system_score_gemma":0.00001533154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004017925,"about_ca_topic_score_gemma":0.00004937307,"domain_scores_codex":[0.9991807,0.0001467491,0.0002321382,0.0002451891,0.00005787617,0.00013733],"domain_scores_gemma":[0.9993976,0.0001063324,0.0001003655,0.0001240592,0.0002359484,0.00003566625],"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":[0.0002292043,0.00002267263,0.0002484757,0.00001080454,0.00006707299,3.920728e-7,0.00001983848,0.000001325903,0.9540144,0.00004890833,0.000004791247,0.04533209],"study_design_scores_gemma":[0.0002246286,0.0006531239,0.002086444,0.00002104966,0.00006859021,0.000004579861,0.00006553796,0.007576406,0.9886376,0.000421043,0.0001521424,0.00008882837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4054504,0.00003370086,0.5943094,0.00002233873,0.00001268776,0.00007959764,0.000009976409,0.00000464538,0.00007721625],"genre_scores_gemma":[0.7385107,0.00001214268,0.2613641,0.0000267308,0.00004910196,0.000001895347,0.000004068836,0.000006109188,0.00002522402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3330602,"threshold_uncertainty_score":0.325347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125356587716468,"score_gpt":0.3981627010423068,"score_spread":0.3669091351651421,"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."}}