{"id":"W3091710819","doi":"10.1002/admi.202001017","title":"Interfacing Catalytic DNA with Nanomaterials","year":2020,"lang":"en","type":"article","venue":"Advanced Materials Interfaces","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Deoxyribozyme; Nanomaterials; Nanotechnology; Materials science; Interfacing; Biosensor; DNA; Chemistry; Computer science; 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":[0.0001653422,0.0004482442,0.0002499331,0.000238605,0.0001471608,0.0003696804,0.0003505873,0.0005357854,0.001385308],"category_scores_gemma":[0.0002067571,0.0001656469,0.0003107527,0.0001890134,0.0001710784,0.0004293574,0.0003440455,0.0004888945,0.0009327622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003404728,"about_ca_system_score_gemma":0.0001283152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002142141,"about_ca_topic_score_gemma":0.0002642341,"domain_scores_codex":[0.9998541,0.00002772266,0.000008815467,0.00004255437,0.0000459043,0.00002092963],"domain_scores_gemma":[0.9999477,0.00002038795,0.00000926363,0.000003574095,0.00001396007,0.000005164683],"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":[0.00002679011,0.00003315667,0.0001101929,0.001306798,0.00002519263,0.0003186851,0.00006243888,0.0007124663,0.9560627,0.0069748,0.001850123,0.03251668],"study_design_scores_gemma":[0.000009266872,0.0001649219,0.0002710016,0.00008264483,0.00003079195,0.0003644236,0.00003207269,0.001964976,0.8671619,0.001096791,0.1288038,0.00001735571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4006102,0.3048219,0.1494946,0.002862136,0.004515614,0.0004571249,0.0004909632,0.001328949,0.1354185],"genre_scores_gemma":[0.8057614,0.08720388,0.06982666,0.001382895,0.0006582948,0.0003209512,0.0004290139,0.0001109901,0.03430583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001385308,"threshold_uncertainty_score":0.004634321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00994716762529864,"score_gpt":0.248095175146037,"score_spread":0.2381480075207383,"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."}}