{"id":"W4312155735","doi":"10.1021/acsanm.2c04376","title":"Silver Nanoparticle on Alumina Films Tailored for Surface-enhanced Raman Spectroscopy and Detection of Pesticides","year":2022,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Silver nanoparticle; Raman scattering; Materials science; Raman spectroscopy; Substrate (aquarium); Surface-enhanced Raman spectroscopy; Detection limit; Nanoparticle; Nanotechnology; Plasmon; Visible spectrum; Chemical engineering; Chemistry; Optoelectronics; Optics; Chromatography","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":[0.0000902996,0.0003298416,0.0001557514,0.0003097757,0.0001522936,0.00033463,0.0003698887,0.000392461,0.0008412889],"category_scores_gemma":[0.000192912,0.0003151378,0.0001974479,0.0002116055,0.0001534223,0.0002001157,0.0001984052,0.0003151408,0.0004351993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002299292,"about_ca_system_score_gemma":0.0001003577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004568088,"about_ca_topic_score_gemma":0.0009649129,"domain_scores_codex":[0.999885,0.000008854091,0.00001035268,0.00002608494,0.00004993408,0.00001977131],"domain_scores_gemma":[0.9999202,0.00001191593,0.00002427925,0.000005963826,0.00002753913,0.00001005163],"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":[0.00001196325,0.000004208054,0.00002642466,0.00001756797,0.000001713289,0.00002838883,0.000006742348,0.00003041266,0.9993748,0.00002121243,0.0000187135,0.0004580681],"study_design_scores_gemma":[0.000006268497,0.00007560808,0.0005720074,0.000004247327,0.000006412807,0.00007878253,0.00001864448,0.000657609,0.9976158,0.00002053096,0.0009397489,0.000004243784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887211,0.00104393,0.005080971,0.0001214471,0.00009329533,0.00003997755,0.0001847184,0.0002490057,0.004465572],"genre_scores_gemma":[0.9879439,0.0007951599,0.00756273,0.00008791983,0.0000247717,0.00003613243,0.000236399,0.0000571429,0.003255924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008412889,"threshold_uncertainty_score":0.002814412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279253529030593,"score_gpt":0.2344147793994936,"score_spread":0.2216222441091876,"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."}}