{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000294787,0.0007306096,0.0005976805,0.000342198,0.0001036039,0.0004755095,0.000319001,0.0005408914,0.0003801541],"category_scores_gemma":[0.0002994627,0.0003400844,0.0004342725,0.0002938221,0.0002497566,0.0002658034,0.0002151676,0.0004320137,0.0002796942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003422804,"about_ca_system_score_gemma":0.0002135495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004390529,"about_ca_topic_score_gemma":0.0008226544,"domain_scores_codex":[0.9997224,0.00004610937,0.00003176279,0.0000623736,0.0001065391,0.00003070682],"domain_scores_gemma":[0.999851,0.00005432705,0.00004489534,0.00001448741,0.00002003934,0.00001523013],"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":[0.00001711736,0.0000087262,0.00005288629,0.00003857472,0.000005898825,0.00001188446,0.000004968001,0.00008104835,0.9991639,0.00001120941,0.000005663471,0.000598088],"study_design_scores_gemma":[0.000002489777,0.0001128962,0.0002969028,0.000002789405,0.00001391702,0.00002548328,0.00000590299,0.000346842,0.9986934,0.000005302783,0.0004909928,0.000002988684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745324,0.006115779,0.01724296,0.0001280029,0.00006439741,0.0001507854,0.0004355563,0.0002439594,0.001086224],"genre_scores_gemma":[0.9609238,0.005849585,0.02773811,0.0001328824,0.00003096324,0.0001684959,0.001208296,0.00008440586,0.003863582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007306096,"threshold_uncertainty_score":0.002483428,"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."}}