{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001322988,0.000297246,0.0001499856,0.0001946817,0.000124976,0.0002103036,0.0006246941,0.0006192762,0.000564953],"category_scores_gemma":[0.0002156036,0.0001722459,0.000157039,0.000150055,0.0001669069,0.0002247024,0.0001778206,0.000258224,0.0001628601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001990144,"about_ca_system_score_gemma":0.00009111551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009248529,"about_ca_topic_score_gemma":0.002545774,"domain_scores_codex":[0.9998197,0.00001554024,0.00001244933,0.00005079035,0.00007257399,0.00002898344],"domain_scores_gemma":[0.9999343,0.00001252696,0.00001348222,0.000008234459,0.00002180934,0.000009690117],"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":[0.00003300262,0.000006068256,0.00005224963,0.00001765398,0.00000279882,0.00002818624,0.000007787025,0.00004788385,0.9991291,0.00002180419,0.0000212876,0.0006322143],"study_design_scores_gemma":[0.000004158992,0.00006203706,0.0006732047,0.000002319145,0.000009238724,0.00003562272,0.00001289455,0.001218498,0.9974361,0.00001300974,0.0005280143,0.000004875914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907534,0.0007169549,0.00683983,0.000109892,0.00009485134,0.00001856962,0.0001709509,0.0001468303,0.001148687],"genre_scores_gemma":[0.9904309,0.0002485357,0.007219135,0.00006436078,0.00001108225,0.00001688462,0.0001870991,0.00001117496,0.001810824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009248529,"threshold_uncertainty_score":0.001890004,"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."}}