{"id":"W2264401343","doi":"10.1039/c6ra02680j","title":"An amperometric glucose biosensor based on a MnO<sub>2</sub>/graphene composite modified electrode","year":2016,"lang":"en","type":"article","venue":"RSC Advances","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"Graphene; Amperometry; Composite number; Hydrothermal circulation; Electrode; Biosensor; Materials science; Nanotechnology; Chemical engineering; Electrochemistry; Chemistry; Composite material; Physical chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008671538,0.0003663356,0.0003493626,0.0003640242,0.00008144265,0.00003865424,0.0002501106,0.0001421555,0.00001467948],"category_scores_gemma":[0.00004246512,0.0002554271,0.0001366162,0.0009359489,0.00007575253,0.000229437,0.0000105325,0.0001923241,0.00007266553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160697,"about_ca_system_score_gemma":0.00001037187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003126136,"about_ca_topic_score_gemma":0.00001072057,"domain_scores_codex":[0.9981616,0.00005080485,0.0003002543,0.0004606257,0.0003254353,0.0007013335],"domain_scores_gemma":[0.9989865,0.000241884,0.00005894615,0.0004125561,0.00005845371,0.0002417021],"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":[0.0001195999,0.0001067688,0.0001790326,0.00002571045,0.00002195747,0.000009052743,0.00000808457,0.003873578,0.9638788,0.0001189445,0.00005623278,0.03160224],"study_design_scores_gemma":[0.0007551452,0.0003924524,0.0009897504,0.00005729615,0.00001838909,0.000004923907,0.000002995386,0.01108761,0.9848414,0.0003980015,0.0009972547,0.0004547485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928269,0.001213486,0.004324204,0.0001229554,0.0001285078,0.0001939769,0.00003544757,0.0006612289,0.0004933263],"genre_scores_gemma":[0.9971133,0.001354862,0.001058925,0.0001756365,0.0001754281,0.00002012777,0.00001881205,0.00006804629,0.00001489537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03114749,"threshold_uncertainty_score":0.9999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005933534988791259,"score_gpt":0.2086763195110963,"score_spread":0.202742784522305,"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."}}