{"id":"W4240943581","doi":"10.1002/ange.201806489","title":"Self‐Assembled Functional DNA Superstructures as High‐Density and Versatile Recognition Elements for Printed Paper Sensors","year":2018,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Foundation for Innovation","keywords":"DNA; Deoxyribozyme; Physisorption; Nanotechnology; Biosensor; Aptamer; Nucleic acid; Self-assembly; Chemistry; Rolling circle replication; Materials science; Adsorption; Combinatorial chemistry; Biochemistry; Organic chemistry; Biology; Polymerase; Molecular biology","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":[0.0001506557,0.000310999,0.0001473366,0.0001870567,0.00007941261,0.0003049216,0.0003756547,0.0004630615,0.0004585003],"category_scores_gemma":[0.0002338425,0.0002670438,0.0001690335,0.0001104541,0.0001740423,0.0002436671,0.0001956144,0.0003370511,0.0003552919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003813648,"about_ca_system_score_gemma":0.000127181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003309099,"about_ca_topic_score_gemma":0.0008395263,"domain_scores_codex":[0.9998411,0.00002691764,0.000009180269,0.00003140093,0.00007249184,0.00001886502],"domain_scores_gemma":[0.9998577,0.00003937527,0.00003723865,0.00001266562,0.00003162351,0.00002153833],"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":[0.000006468342,0.000003908892,0.00003073028,0.00001080307,0.000001905525,0.00001678285,0.000006415001,0.0001156257,0.9991217,0.0000568295,0.00001398808,0.0006149132],"study_design_scores_gemma":[0.000002733674,0.00002391006,0.0001619681,7.212476e-7,0.000002080182,0.00002570057,0.00000445738,0.001238452,0.9980851,0.00001798971,0.0004346833,0.000002264101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668546,0.001313227,0.02894862,0.0001337524,0.00007646719,0.00004737783,0.0002097159,0.0003025236,0.002113795],"genre_scores_gemma":[0.9691902,0.0003386824,0.02803303,0.00006259244,0.00001321694,0.00003209715,0.0001633317,0.00003021086,0.002136701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004630615,"threshold_uncertainty_score":0.002767026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239592155911024,"score_gpt":0.2537315252521917,"score_spread":0.2413356036930814,"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."}}