{"id":"W4232144512","doi":"10.7150/thno.17736","title":"Theranostic DNAzymes","year":2017,"lang":"en","type":"review","venue":"Theranostics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":248,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; Central South University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Deoxyribozyme; Cleave; Computational biology; DNA; RNA; Nanotechnology; Nucleic acid; Biology; Chemistry; Gene; Genetics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001840988,0.0005216047,0.001114785,0.00008264503,0.0001283469,0.00008433767,0.0006609816,0.0006228968,0.000001898992],"category_scores_gemma":[0.0002965179,0.0003801426,0.0006448421,0.00006411062,0.0002188325,0.000002065203,0.0001659367,0.0002474682,0.00001686977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002142748,"about_ca_system_score_gemma":0.0001725437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003476353,"about_ca_topic_score_gemma":0.000005895915,"domain_scores_codex":[0.9984321,0.0001294509,0.0004130289,0.0005410436,0.0001599966,0.0003243714],"domain_scores_gemma":[0.9979227,0.00005358166,0.00045877,0.001396849,0.00008697405,0.00008116816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008286916,0.00003716023,0.000001010367,0.0007537779,0.0003201223,0.00001141261,0.000003459249,1.284818e-7,0.0004560662,0.00004655033,0.001290547,0.9970715],"study_design_scores_gemma":[0.00008559569,0.0001096988,6.126882e-7,0.00177914,0.0007327652,0.00004190442,0.000001986406,0.00000102881,0.001077407,0.00008805277,0.9955957,0.0004861339],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005547464,0.997579,0.0007695765,0.00001299855,0.0002033636,0.0003398698,0.00007150727,0.0002315228,0.0007865712],"genre_scores_gemma":[0.0002126304,0.9953668,0.001107735,0.0000752454,0.000768157,0.00002067894,0.0003645643,0.0002546404,0.001829561],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9965854,"threshold_uncertainty_score":0.9998651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08085513549860088,"score_gpt":0.4024890990040754,"score_spread":0.3216339635054746,"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."}}