{"id":"W2047120117","doi":"10.1016/j.talanta.2012.05.014","title":"Mediatorless amperometric glucose biosensing using 3-aminopropyltriethoxysilane-functionalized graphene","year":2012,"lang":"en","type":"article","venue":"Talanta","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Biotechnology Research Institute","funders":"National University of Singapore","keywords":"Graphene; Biosensor; Glucose oxidase; Chemistry; Surface modification; Glassy carbon; Amperometry; Nuclear chemistry; Combinatorial chemistry; Nanotechnology; Electrochemistry; Electrode; Cyclic voltammetry; Materials science; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001602788,0.0002391601,0.0002712194,0.000245886,0.00008613854,0.00002875738,0.0001017751,0.0001549696,0.0001705192],"category_scores_gemma":[0.00004170743,0.0002119169,0.0001039263,0.0009180689,0.00004967714,0.0001492584,0.00002930618,0.000217457,0.00007925526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009983313,"about_ca_system_score_gemma":0.000008249413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000300392,"about_ca_topic_score_gemma":0.000002596938,"domain_scores_codex":[0.998616,0.00003051551,0.0002588844,0.0001763097,0.000278691,0.0006395885],"domain_scores_gemma":[0.9993853,0.00009850022,0.00004206649,0.0002005954,0.00003839178,0.0002351782],"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":[0.00001757102,0.0000441444,0.006197516,0.00004058544,0.00006013002,0.000006357594,0.00008130613,0.00007764432,0.9911715,0.0001094902,0.0004148763,0.001778919],"study_design_scores_gemma":[0.0005893525,0.00002595978,0.006938786,0.00003281704,0.00008864808,0.0002014796,0.00006433287,0.004373375,0.982301,0.0001031753,0.00468509,0.0005959714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940615,0.003456492,0.0001863772,0.00001285219,0.0006405447,0.0001083419,0.00001374443,0.0003711134,0.001149017],"genre_scores_gemma":[0.9980952,0.0002856944,0.0007867863,0.00005448081,0.0006082368,0.000002177411,0.00004021728,0.00005237835,0.00007488979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008870447,"threshold_uncertainty_score":0.8641719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759047833927025,"score_gpt":0.2262375596870599,"score_spread":0.2086470813477896,"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."}}