{"id":"W3013819230","doi":"10.3390/bios10040030","title":"Graphene Oxide Nanoribbons in Chitosan for Simultaneous Electrochemical Detection of Guanine, Adenine, Thymine and Cytosine","year":2020,"lang":"en","type":"article","venue":"Biosensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; University of Toronto; Canada Foundation for Innovation","keywords":"Graphene; Nanocomposite; Guanine; Oxide; Covalent bond; Carbon nanotube; Chemistry; Fourier transform infrared spectroscopy; Thymine; High-resolution transmission electron microscopy; Electrochemistry; Nuclear chemistry; Cytosine; Aptamer; Materials science; Electrode; Transmission electron microscopy; Chemical engineering; Nanotechnology; DNA; Organic chemistry; Physical chemistry","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":[0.0001207515,0.0004946605,0.0001481136,0.0003600717,0.0001134134,0.0001477277,0.0003036034,0.0004055255,0.0005555077],"category_scores_gemma":[0.0002183058,0.0002029442,0.0002374337,0.0002111056,0.0001429165,0.0001933414,0.0001852971,0.0002824552,0.0001878083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003378725,"about_ca_system_score_gemma":0.0001910085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020657,"about_ca_topic_score_gemma":0.006445021,"domain_scores_codex":[0.9998006,0.0000213042,0.00001223136,0.00004869879,0.00009216357,0.00002500648],"domain_scores_gemma":[0.9999001,0.00001742677,0.00002670144,0.000009758318,0.0000312658,0.00001480961],"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":[0.00001241942,0.000003513326,0.00003492898,0.00002748244,0.000002339598,0.00002347194,0.000003161844,0.00004819607,0.9989432,0.00001928386,0.00001375448,0.000868393],"study_design_scores_gemma":[0.000003456514,0.00007346756,0.000904794,0.00000376611,0.000009817063,0.00007428057,0.000005707074,0.000930791,0.9972789,0.00001537479,0.0006934231,0.000006225904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710886,0.003827031,0.0211292,0.0002138956,0.0001087881,0.00007778745,0.000406827,0.0004079325,0.002739837],"genre_scores_gemma":[0.9759805,0.0009873366,0.02031892,0.00007139478,0.0000126043,0.00002861056,0.000170258,0.00002384309,0.00240653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0020657,"threshold_uncertainty_score":0.004107416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007572192717336854,"score_gpt":0.2393628728361064,"score_spread":0.2317906801187695,"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."}}