{"id":"W2086926494","doi":"10.1021/ac026370i","title":"Screening of Inhibitors Using Enzymes Entrapped in Sol−Gel-Derived Materials","year":2003,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Enzyme kinetics; Tetraethyl orthosilicate; Enzyme; Substrate (aquarium); Immobilized enzyme; Michaelis–Menten kinetics; Catalysis; Reagent; Kinetics; Turnover number; Chromatography; Combinatorial chemistry; Enzyme assay; Organic chemistry; Active site","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":[0.0001083284,0.000117823,0.0001649336,0.00001648617,0.00002934081,0.000008944836,0.00008549029,0.0001536701,0.00003730052],"category_scores_gemma":[0.0001049848,0.0001190331,0.00006122456,0.00009164999,0.0001058626,0.000002638647,0.00004415159,0.00006598128,4.786377e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000114976,"about_ca_system_score_gemma":0.00003616201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001108067,"about_ca_topic_score_gemma":0.00000131503,"domain_scores_codex":[0.999189,0.00001856332,0.0002732652,0.0002473001,0.00007811694,0.0001938046],"domain_scores_gemma":[0.9995701,0.00001016543,0.00008290446,0.0002410206,0.00004048608,0.00005532884],"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":[0.00001427543,0.00004138348,0.000497729,0.00001967595,0.00001247792,0.000001709136,0.000004172627,0.00003763957,0.9990644,0.0001341101,0.00008926063,0.00008319283],"study_design_scores_gemma":[0.0001967412,0.00001319184,0.00007278113,0.00003102788,0.00001361456,0.00000964017,0.00003801129,0.0001335135,0.9978033,0.0001824925,0.001374027,0.0001316956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912152,0.00009671757,0.007798051,0.0000393462,0.00001055488,0.00007314469,0.00001194568,0.000012484,0.0007425404],"genre_scores_gemma":[0.9877227,0.00002262932,0.01198559,0.00004320493,0.00005473049,0.000003973349,0.00004170511,0.00001389607,0.0001115827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004187536,"threshold_uncertainty_score":0.4854029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803570707669047,"score_gpt":0.2886252016644709,"score_spread":0.2705894945877805,"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."}}