{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001062472,0.0001587281,0.0001371017,0.00003292484,0.0001478303,0.00002288754,0.00004955343,0.000162204,0.00002173423],"category_scores_gemma":[0.00008709976,0.0001400082,0.00007402209,0.00006124447,0.00006441287,0.000008450683,0.00005464966,0.00005089813,0.000004135256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002142284,"about_ca_system_score_gemma":0.00002472268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001384431,"about_ca_topic_score_gemma":0.00004006803,"domain_scores_codex":[0.9991559,0.00001710881,0.0001543685,0.0003798903,0.0001005332,0.000192197],"domain_scores_gemma":[0.9994287,0.0000142868,0.00007189903,0.0001836007,0.0002377053,0.00006374492],"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":[0.0002049074,0.00002693174,0.0002590711,0.00001619816,0.0001197095,8.154407e-7,0.00002234895,4.96239e-8,0.9961352,0.000008776964,0.002408219,0.0007978056],"study_design_scores_gemma":[0.0005814128,0.0002623077,0.0009595872,0.00001061839,0.0000836202,0.00001641413,0.00006666385,0.000006505353,0.9823131,0.0005213406,0.01498514,0.0001932884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988419,0.00003605736,0.0001588061,0.000147236,0.00007769324,0.0001813231,0.0000277539,0.00006016745,0.0004690016],"genre_scores_gemma":[0.9900954,0.0001061715,0.008105253,0.0004766094,0.0004524444,0.00001393299,0.000508017,0.00001765631,0.000224472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01382207,"threshold_uncertainty_score":0.5709368,"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."}}