{"id":"W1966660137","doi":"10.1016/j.msec.2006.08.030","title":"Control of catalytic activity of glucose oxidase in layer-by-layer films of chitosan and glucose oxidase","year":2006,"lang":"en","type":"article","venue":"Materials Science and Engineering C","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Glucose oxidase; Chitosan; Biosensor; Layer by layer; Catalysis; Gluconic acid; Chemical engineering; Colloidal gold; Adsorption; Surface plasmon resonance; Nanoparticle; Layer (electronics); Chemistry; Nanotechnology; Materials science; Organic 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":[0.0002107432,0.0001465579,0.000348883,0.0001299266,0.0000169532,0.00001966069,0.0001076525,0.00006407321,0.000004745964],"category_scores_gemma":[0.00006164345,0.0001307024,0.00001959402,0.0002903515,0.0001559378,0.0001366378,0.00002902376,0.00005719513,2.201304e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001274048,"about_ca_system_score_gemma":0.00001237523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003457061,"about_ca_topic_score_gemma":0.00000465808,"domain_scores_codex":[0.9990681,0.000008006677,0.00029272,0.0001719636,0.0001820908,0.0002771296],"domain_scores_gemma":[0.9996752,0.0000479824,0.00005524847,0.0001347096,0.0000229623,0.00006387902],"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":[0.00002113771,0.00003590305,0.0001767994,0.00024315,0.000004671178,0.000001762235,0.00003014193,0.001755382,0.9975456,0.00004270613,0.000007138837,0.0001356185],"study_design_scores_gemma":[0.0004200576,0.00004955829,0.008096275,0.00006554489,0.000009032946,0.000004582545,0.000005641985,0.008095681,0.9831079,0.000009111602,0.000005102397,0.0001315521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992658,0.0003268369,0.0001048768,0.00001164882,0.00005935026,0.0001115804,0.00005984544,0.00002868943,0.00003139181],"genre_scores_gemma":[0.9997169,0.00005229131,0.000191712,0.000003022246,0.00001630556,0.000003709974,0.00000259545,0.00001200034,0.000001509158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01443773,"threshold_uncertainty_score":0.532989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003915767407490553,"score_gpt":0.1819674332815808,"score_spread":0.1780516658740902,"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."}}