{"id":"W4293692532","doi":"10.1016/j.aca.2022.340333","title":"Molecularly imprinted core-shell Au nanoparticles for 2,4-dichlorophenoxyacetic acid detection in milk using surface-enhanced Raman spectroscopy","year":2022,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Chemistry; Detection limit; Analyte; Colloidal gold; Surface-enhanced Raman spectroscopy; Raman scattering; Molecularly imprinted polymer; Nanoparticle; Raman spectroscopy; Nanotechnology; Analytical Chemistry (journal); Chromatography; Selectivity; Materials science; Organic chemistry","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":[0.0003441656,0.0005938318,0.0003888918,0.0002828319,0.0002155625,0.0004082828,0.0007093448,0.0005331613,0.0007287966],"category_scores_gemma":[0.000326555,0.0005871447,0.0002936807,0.0001777068,0.0002198854,0.0003451931,0.0003350692,0.0005529359,0.0006445499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003786888,"about_ca_system_score_gemma":0.0002758379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006879554,"about_ca_topic_score_gemma":0.001674183,"domain_scores_codex":[0.9996276,0.00007446659,0.00001779748,0.00009167639,0.0001219748,0.00006642501],"domain_scores_gemma":[0.9998856,0.00003665881,0.0000171084,0.0000135693,0.00003281371,0.00001422678],"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":[0.00002108725,0.00001037649,0.00002809415,0.00002066391,0.000003303071,0.00001693548,0.000009732302,0.00007628396,0.9982505,0.00005687854,0.00003847394,0.001467624],"study_design_scores_gemma":[0.000001225268,0.0000187649,0.0001030709,7.460721e-7,0.000002940735,0.000020416,0.00000291244,0.001246464,0.9982913,0.000008029856,0.0003021866,0.00000188895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8425276,0.004265879,0.145611,0.000387787,0.0001742002,0.0001389763,0.0003585042,0.001654202,0.004881898],"genre_scores_gemma":[0.9207701,0.001404776,0.07130617,0.0001416486,0.0000325533,0.0001105799,0.0002601736,0.0001159887,0.005857874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007287966,"threshold_uncertainty_score":0.002747536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445971091424105,"score_gpt":0.266404132292956,"score_spread":0.2419444213787149,"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."}}