{"id":"W2329734853","doi":"10.1021/ac404111u","title":"Disk-Shaped Amperometric Enzymatic Biosensor for in Vivo Detection of <scp>d</scp>-serine","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Amino Acid Enzymes and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Chemistry; Serine; Biosensor; In vivo; Amperometry; Glycine; D-amino acid oxidase; NMDA receptor; Biophysics; Detection limit; Enzyme; Biochemistry; Receptor; Oxidase test; Amino acid; Chromatography; Electrochemistry","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":[0.0002784759,0.0005587739,0.0004134978,0.0002601148,0.0001393193,0.0003180775,0.0009250147,0.0008590742,0.0006415476],"category_scores_gemma":[0.0003653106,0.0002198481,0.0002250013,0.0002332742,0.000270613,0.0003865073,0.000262921,0.0005195908,0.0005443349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003003983,"about_ca_system_score_gemma":0.0001727102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002966636,"about_ca_topic_score_gemma":0.000463943,"domain_scores_codex":[0.9996758,0.0000573552,0.00002491524,0.0001168664,0.0001002213,0.00002491778],"domain_scores_gemma":[0.9997761,0.00007387523,0.00005966667,0.00001818953,0.00004469185,0.0000274604],"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":[0.00001192103,0.000004861963,0.00004233295,0.00002625143,0.000002221157,0.00001640905,0.00000320512,0.00001675705,0.9991874,0.0000220008,0.00002171285,0.0006448097],"study_design_scores_gemma":[0.000004245011,0.0001276283,0.0005830195,0.000002450503,0.000007700978,0.0002534111,0.00001179133,0.001038769,0.9971831,0.0000208516,0.0007619612,0.000004929148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.809772,0.009379369,0.1745809,0.0007274832,0.0003237304,0.0001848818,0.0009661988,0.001212874,0.002852606],"genre_scores_gemma":[0.8270356,0.00440663,0.1640268,0.0003715767,0.00006133803,0.0001721364,0.0006036939,0.00003940089,0.003282866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009250147,"threshold_uncertainty_score":0.002179503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008266838825318326,"score_gpt":0.2390779471100349,"score_spread":0.2308111082847166,"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."}}