{"id":"W2171880625","doi":"10.1002/jrs.4722","title":"SERS‐based assays for sensitive detection of modafinil","year":2015,"lang":"en","type":"article","venue":"Journal of Raman Spectroscopy","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; World Anti-Doping Agency","keywords":"Detection limit; Analyte; Aptamer; Modafinil; Chromatography; Chemistry; Molecularly imprinted polymer; Surface-enhanced Raman spectroscopy; Extraction (chemistry); Colloidal gold; Raman spectroscopy; Silver nanoparticle; Solid phase extraction; Nanoparticle; Nanotechnology; Materials science; Raman scattering; Pharmacology; Physics; Molecular biology; Biochemistry; Selectivity; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.001944014,0.0001810539,0.0005466425,0.000311731,0.0001095462,0.0000102871,0.0001769895,0.0003456991,0.00007114087],"category_scores_gemma":[0.0004061683,0.0001594292,0.000360819,0.0002658587,0.000251861,0.0001320202,0.00001962072,0.0006696514,0.0000152819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001723053,"about_ca_system_score_gemma":0.0003492435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008041758,"about_ca_topic_score_gemma":0.00003079969,"domain_scores_codex":[0.998286,0.0003816788,0.0006263212,0.0001610014,0.0002299667,0.0003150083],"domain_scores_gemma":[0.997574,0.0005123285,0.0008118594,0.0001409401,0.0006862202,0.0002746932],"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":[0.01056361,0.000856214,0.003807737,0.00007367194,0.001284649,0.0001120064,0.001145813,0.01308188,0.9489016,0.001902403,0.0148658,0.003404653],"study_design_scores_gemma":[0.004690342,0.002065371,0.0004447565,0.00001731389,0.0007458442,0.00009328427,0.0005792748,0.01466187,0.9639969,0.002751479,0.009789626,0.0001638929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9209343,0.0003331363,0.07289875,0.001502026,0.001958219,0.0002577157,0.00004286912,0.00002750713,0.002045436],"genre_scores_gemma":[0.9921306,0.00002511431,0.006403368,0.0007589755,0.0004711744,0.000005188841,0.000005043305,0.00001880338,0.0001817787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07119622,"threshold_uncertainty_score":0.6501333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09632979899847588,"score_gpt":0.4311483978793532,"score_spread":0.3348185988808773,"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."}}