{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001617433,0.001229549,0.0006635617,0.001046002,0.0003456487,0.0005255891,0.001135994,0.001345123,0.0006653836],"category_scores_gemma":[0.001675206,0.0005879555,0.0006143311,0.000396995,0.0006450868,0.0008768276,0.0008078811,0.001436515,0.0005461781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003990481,"about_ca_system_score_gemma":0.0002922698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003022801,"about_ca_topic_score_gemma":0.0005859863,"domain_scores_codex":[0.9978347,0.0005632606,0.0001234419,0.0003868102,0.0009340552,0.0001577188],"domain_scores_gemma":[0.9989391,0.0004328682,0.0002028919,0.00009337758,0.0002770901,0.00005465314],"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":[0.00008411277,0.00003741638,0.000549876,0.0002694557,0.00003425405,0.00007607954,0.00007089161,0.0003257645,0.9806107,0.0005046357,0.0001686373,0.01726812],"study_design_scores_gemma":[0.000006262796,0.0001548341,0.000635219,0.00001186056,0.00002431137,0.0003475582,0.00003706808,0.005236131,0.9911027,0.0001956152,0.002222038,0.00002636046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3689423,0.02603917,0.5939913,0.001314625,0.0008985544,0.0004843449,0.000371643,0.001687818,0.006270223],"genre_scores_gemma":[0.6731854,0.009634749,0.3097536,0.0006513995,0.0002352668,0.0003286974,0.000298618,0.00005435506,0.005857773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001617433,"threshold_uncertainty_score":0.008553922,"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."}}