{"id":"W1978359513","doi":"10.1016/j.tet.2004.11.015","title":"Optimized polymer–enzyme electrostatic interactions significantly improve penicillin G amidase efficiency in charged PEGA polymers","year":2004,"lang":"en","type":"article","venue":"Tetrahedron","topic":"Advanced Drug Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Public Health Agency of Canada; Wellcome Trust","keywords":"Chemistry; Polymer; Penicillin amidase; Hydrolysis; Swelling; Electrostatics; Polymer chemistry; Enzyme; Amidase; Chemical engineering; Organic chemistry; Immobilized enzyme; Physical chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005983131,0.0004706219,0.0005756695,0.0004611253,0.0002830115,0.00003447869,0.0004352423,0.0002893301,0.001505131],"category_scores_gemma":[0.0001500286,0.0004849273,0.0001915221,0.0007515735,0.0002432247,0.0003582195,0.00006298467,0.001476485,0.0006016974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000711064,"about_ca_system_score_gemma":0.0002985199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005053387,"about_ca_topic_score_gemma":0.0001442974,"domain_scores_codex":[0.9965479,0.0004574333,0.0008699786,0.0007187715,0.0002944223,0.001111515],"domain_scores_gemma":[0.99835,0.0005007522,0.0003145962,0.0004022898,0.00008029961,0.0003520107],"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":[0.001340051,0.00140721,0.0005237856,0.00007810842,0.0001490007,0.000260126,0.00379297,0.02834305,0.9564303,0.0007182148,0.0003069726,0.006650279],"study_design_scores_gemma":[0.01561047,0.0008258595,0.0005112112,0.0001103743,0.0002213137,0.0001422297,0.00254827,0.01887069,0.951939,0.0003615165,0.007532808,0.001326221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828373,0.003185094,0.004908065,0.001269418,0.002569742,0.0014472,0.000126052,0.000356269,0.003300922],"genre_scores_gemma":[0.9954097,0.0001688198,0.000360286,0.0007974276,0.0002023835,0.0001776966,0.00006440895,0.00007136393,0.002747916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01427042,"threshold_uncertainty_score":0.9997602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04737379281035948,"score_gpt":0.3852306594918531,"score_spread":0.3378568666814936,"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."}}