{"id":"W3006196233","doi":"10.1021/acsapm.9b01082","title":"Enzyme Encapsulation in Glycerol–Silicone Membranes for Bioreactions and Biosensors","year":2020,"lang":"en","type":"article","venue":"ACS Applied Polymer Materials","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Danmarks Frie Forskningsfond; Otto Mønsteds Fond","keywords":"Glycerol; Encapsulation (networking); Biosensor; Membrane; Silicone; Chemistry; Enzyme; Immobilized enzyme; Glycerol kinase; Chemical engineering; Materials science; Biochemistry; Organic chemistry; Computer science; Engineering","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":[0.00008387172,0.0001220492,0.0001682082,0.00003767681,0.00004569394,0.00003567816,0.00006009933,0.0001199761,0.00002759105],"category_scores_gemma":[0.00002498881,0.0001187472,0.00002151181,0.00008601989,0.00003895234,0.000005788432,0.00003796089,0.00001958786,0.000006149183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004256866,"about_ca_system_score_gemma":0.00001432852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001922291,"about_ca_topic_score_gemma":0.000006934614,"domain_scores_codex":[0.9992598,0.00001874477,0.0002361871,0.0002953385,0.00004957249,0.0001403416],"domain_scores_gemma":[0.999704,0.00001125035,0.00007952439,0.0001350694,0.00002035866,0.00004978174],"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":[0.0001392084,0.00001828876,0.000041668,0.00004754847,0.00001819983,1.163029e-7,0.00009019597,0.00001062865,0.9986528,0.0005021917,0.0002212523,0.0002579463],"study_design_scores_gemma":[0.0005946446,0.00006002228,0.0003577388,0.000003229894,0.00002169905,0.00000131297,0.00007685555,0.00001100919,0.9949631,0.00002133587,0.003754219,0.0001347982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981674,0.0006287649,0.0002065414,0.0004043108,0.00006353642,0.0003258391,0.00008079266,0.00001398395,0.0001088539],"genre_scores_gemma":[0.9980695,0.0002101851,0.00006424349,0.0005140909,0.000217308,0.0001029982,0.0007461011,0.00002190829,0.00005368742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003689621,"threshold_uncertainty_score":0.4842372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140454392359195,"score_gpt":0.2360235640241195,"score_spread":0.2219781247882,"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."}}