{"id":"W2054106071","doi":"10.1016/j.elecom.2009.08.048","title":"Glucose biosensing based on the highly efficient immobilization of glucose oxidase on a Prussian blue modified nanostructured Au surface","year":2009,"lang":"en","type":"article","venue":"Electrochemistry Communications","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Prussian blue; Biosensor; Glucose oxidase; Ascorbic acid; Amperometry; Nanoporous; Chemistry; Detection limit; Immobilized enzyme; Nuclear chemistry; Chromatography; Electrochemistry; Biochemistry; Electrode; Organic chemistry; Enzyme","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":[0.0001452648,0.0003349313,0.0002540745,0.0001926984,0.0001246109,0.0002417425,0.000500271,0.0003816483,0.0003636894],"category_scores_gemma":[0.0002189271,0.000205251,0.0001995053,0.0001431857,0.0002323698,0.0002721183,0.0002570839,0.0003986753,0.0002786982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002150056,"about_ca_system_score_gemma":0.0000904869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003288002,"about_ca_topic_score_gemma":0.0003955731,"domain_scores_codex":[0.9998254,0.00001960188,0.000008253483,0.0000489135,0.00007260998,0.00002534075],"domain_scores_gemma":[0.9999434,0.00001410512,0.00001080648,0.000008587863,0.00001413445,0.000008885332],"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":[0.00001444834,0.000005180359,0.00003844918,0.0000169931,0.0000019278,0.00002260867,0.000007066773,0.00002913898,0.9982182,0.00005416855,0.00002336137,0.001568403],"study_design_scores_gemma":[0.000001219106,0.00002687128,0.0003305321,6.638654e-7,0.000002407357,0.00005173805,0.000002320607,0.0005712008,0.9986705,0.00001321887,0.0003280252,0.000001434606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564403,0.001818944,0.03806224,0.0003000718,0.0001255652,0.00004319751,0.0001316954,0.0003842921,0.002693667],"genre_scores_gemma":[0.9756581,0.0008113639,0.02047961,0.00009291805,0.00002643909,0.00001519647,0.0001451526,0.00003233639,0.002738855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000500271,"threshold_uncertainty_score":0.001560032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009159716919336786,"score_gpt":0.2153246875668472,"score_spread":0.2061649706475104,"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."}}