{"id":"W3157692166","doi":"10.1016/j.jelechem.2021.115303","title":"Decorated graphene oxide flakes with integrated complex of 8-hydroxyquinoline/NiO toward accurate detection of glucose at physiological conditions","year":2021,"lang":"en","type":"article","venue":"Journal of Electroanalytical Chemistry","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Shiraz University of Medical Sciences","keywords":"Chemistry; Graphene; Biosensor; Amperometry; Non-blocking I/O; Detection limit; Oxide; Nickel oxide; Sensitivity (control systems); Nickel; Nanotechnology; Chromatography; Electrochemistry; Electrode; Biochemistry; Catalysis; Organic chemistry; Materials science; 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":[],"consensus_categories":[],"category_scores_codex":[0.00009162888,0.0002447757,0.0006957276,0.00006133293,0.00003452181,0.00001350798,0.0001715814,0.0002001876,0.0002233223],"category_scores_gemma":[0.000193508,0.0001803776,0.0002845229,0.000764371,0.0001763467,0.0000675413,0.00002369119,0.0005436051,0.000001410887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001374538,"about_ca_system_score_gemma":0.00008273002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003715117,"about_ca_topic_score_gemma":0.00000973622,"domain_scores_codex":[0.9983231,0.00003735517,0.000804236,0.0001779593,0.0003079266,0.0003494265],"domain_scores_gemma":[0.9984937,0.0001259937,0.0003162711,0.0001679382,0.0007075348,0.0001885859],"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":[0.0002686562,0.0001440936,0.00007134528,0.0001243006,0.000448675,0.00006517946,0.000008773341,0.00186688,0.9967849,0.000018068,0.0001574097,0.00004169056],"study_design_scores_gemma":[0.0006593069,0.0002522634,0.001056391,0.00008232954,0.000236321,0.0005044592,0.00005795593,0.008873397,0.9877942,0.0002265653,0.00006314609,0.0001936918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981877,0.0004272159,0.0009208921,0.00006643261,0.0000176874,0.00004081948,0.00002302182,0.00003458815,0.0002817069],"genre_scores_gemma":[0.9990498,0.000234327,0.0005139422,0.00001751057,0.00007195048,0.000001235741,0.00005200311,0.00002184642,0.00003738716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008990754,"threshold_uncertainty_score":0.7355585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449022629017424,"score_gpt":0.2266285455339986,"score_spread":0.2121383192438244,"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."}}