{"id":"W4415555846","doi":"10.1016/j.jcis.2025.139351","title":"Functional enzyme-metal nanogel for efficient glucose detection using interface supramolecular adhesion and adsorption","year":2025,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Spinal Cord Injury Canada","keywords":"Nanogel; Glucose oxidase; Supramolecular chemistry; Adsorption; Catalysis; Nanoparticle","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003546631,0.0001065255,0.0001529639,0.0002078715,0.000122667,0.00008846744,0.00008571346,0.00005355617,0.00000372717],"category_scores_gemma":[0.0001036671,0.00008674301,0.00005168967,0.0003353457,0.0001389781,0.0001756343,0.00003468294,0.000143875,3.227113e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001267637,"about_ca_system_score_gemma":0.00004101741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002801023,"about_ca_topic_score_gemma":0.000001892479,"domain_scores_codex":[0.9992146,0.00001261846,0.000257427,0.0001436584,0.0001870008,0.0001846912],"domain_scores_gemma":[0.9995601,0.00004676535,0.00007482243,0.00005293041,0.0001875168,0.00007793026],"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":[0.0001048267,0.00001631366,0.00001827402,0.00002873141,0.00001244239,1.323766e-7,0.00003801738,0.01255548,0.9861336,0.00002477062,0.00003584942,0.00103154],"study_design_scores_gemma":[0.0003254193,0.0002026736,0.000211124,0.00009551309,0.00002303619,0.00005060929,0.0000818581,0.1741146,0.824436,0.00006145517,0.0003234622,0.00007423274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9107966,0.001839759,0.08670028,0.00004822346,0.0004701174,0.00009927469,0.000001270062,0.00001312656,0.00003137534],"genre_scores_gemma":[0.9988531,0.00009639087,0.0009270962,0.00002129076,0.00004153488,9.592557e-7,9.327965e-8,0.000005729255,0.00005379416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1616976,"threshold_uncertainty_score":0.3537277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007511735514107879,"score_gpt":0.2382980349473172,"score_spread":0.2307862994332094,"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."}}