{"id":"W2849237108","doi":"10.1039/c8ra03185a","title":"Development of a rapid and simple tetracycline detection system based on metal-enhanced fluorescence by europium-doped AgNP@SiO<sub>2</sub> core–shell nanoparticles","year":2018,"lang":"en","type":"article","venue":"RSC Advances","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Science and ICT, South Korea; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Europium; Fluorescence; Nanoparticle; Doping; Materials science; Shell (structure); Metal; Core (optical fiber); Nanotechnology; Tetracycline; Chemistry; Luminescence; Optoelectronics; Metallurgy; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002158066,0.0004677128,0.0003677154,0.0002013062,0.0001781033,0.0003032202,0.0005418104,0.0006835724,0.0008894696],"category_scores_gemma":[0.0002615624,0.0003881205,0.0002600007,0.0001557232,0.0002961428,0.0005194692,0.0003371196,0.0006123882,0.0006270805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003777049,"about_ca_system_score_gemma":0.0003414223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008875368,"about_ca_topic_score_gemma":0.001820049,"domain_scores_codex":[0.9997911,0.00001668468,0.00001457933,0.00006206138,0.00009234129,0.00002328199],"domain_scores_gemma":[0.9998634,0.00003111773,0.00002938028,0.00001667055,0.00003889672,0.00002063417],"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":[0.000009717428,0.000007437391,0.00004043456,0.00002674683,0.000002287698,0.00002180241,0.000005657065,0.00003010814,0.9978643,0.00005387973,0.00003789514,0.001899783],"study_design_scores_gemma":[0.000005997686,0.00006877597,0.0004354464,0.000002115102,0.000008335622,0.0001402301,0.000004946235,0.001892718,0.9955057,0.00001543189,0.001912907,0.000007301101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7913037,0.002637549,0.1951084,0.0004957169,0.000268046,0.0004057173,0.0004155466,0.002959055,0.006406207],"genre_scores_gemma":[0.8168679,0.0012236,0.170872,0.0002551177,0.0000489608,0.0002487352,0.0007027279,0.0001353531,0.009645491],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0008894696,"threshold_uncertainty_score":0.002975583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145303821480617,"score_gpt":0.2395982141958452,"score_spread":0.2250678320477835,"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."}}