{"id":"W2317914309","doi":"10.1149/1.2981108","title":"Investigation of Microencapsulated Laccase as Enzyme Immobilization Template for Application in Bio-fuel Cell","year":2008,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Glassy carbon; Ethyleneimine; Passivation; Electrochemistry; Chemistry; Laccase; Electrode; Adsorption; Redox; Nuclear chemistry; Conductive polymer; Polymer; Chemical engineering; Materials science; Inorganic chemistry; Organic chemistry; Enzyme; Cyclic voltammetry; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003945047,0.00009370995,0.0001121388,0.0001029608,0.00004386848,0.000003700117,0.0000447251,0.0001025301,0.00001451219],"category_scores_gemma":[0.00000412884,0.0001016527,0.00005023315,0.0003637591,0.00003276897,0.00007724782,6.863231e-7,0.00008849056,0.000008670679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004749356,"about_ca_system_score_gemma":0.00001437717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008096675,"about_ca_topic_score_gemma":0.00006073053,"domain_scores_codex":[0.999415,0.000009870063,0.0002490081,0.0001262218,0.00006006512,0.0001398691],"domain_scores_gemma":[0.999742,0.0000382138,0.0000333619,0.00009649621,0.00004584927,0.00004408789],"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":[0.00001321825,0.00002546221,0.0001452134,0.00009209446,0.000006688972,5.238565e-7,0.0002491939,0.0279504,0.9713471,0.00001013453,0.00006471857,0.0000952316],"study_design_scores_gemma":[0.0003903392,0.00003427171,0.0005193632,0.00001034973,0.00001359364,0.000009577128,0.00002046643,0.04893026,0.9492083,0.000226937,0.000531233,0.0001053772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510633,0.0001530806,0.04803504,0.0000534123,0.00003760575,0.0003432852,0.00002079207,0.00009902662,0.0001944577],"genre_scores_gemma":[0.9982103,0.0002172743,0.00133152,0.00001344055,0.00001534894,0.0000511068,0.00006077258,0.00001951933,0.00008074789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04714697,"threshold_uncertainty_score":0.4145275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092352312518271,"score_gpt":0.1984943137508777,"score_spread":0.187570790625695,"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."}}