{"id":"W2330197370","doi":"10.1021/ja4086269","title":"Morphology-Based Plasmonic Nanoparticle Sensors: Controlling Etching Kinetics with Target-Responsive Permeability Gate","year":2013,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Plasmon; Nanoparticle; Chemistry; Analyte; Nanotechnology; Polyelectrolyte; Plasmonic nanoparticles; Surface plasmon resonance; Etching (microfabrication); Optoelectronics; Polymer; Materials science; Chromatography","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":[0.0002454062,0.000397218,0.0002355864,0.0001574423,0.0001361518,0.0004060256,0.0005991049,0.0004752177,0.0002796164],"category_scores_gemma":[0.0006314035,0.0003425388,0.0001548196,0.0001445136,0.0003224193,0.000738884,0.0002874945,0.0004666844,0.0002488982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003330025,"about_ca_system_score_gemma":0.000159594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002365392,"about_ca_topic_score_gemma":0.0003619099,"domain_scores_codex":[0.99981,0.00002522665,0.00001471956,0.00005166644,0.00007409648,0.00002419872],"domain_scores_gemma":[0.9997928,0.000057237,0.00007714827,0.00001789933,0.00003663349,0.00001841946],"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":[0.00001958343,0.000009025063,0.00003754007,0.00001799651,0.00000132041,0.0000190419,0.00001127957,0.0001593643,0.9977425,0.0001316636,0.00002768206,0.001823021],"study_design_scores_gemma":[0.000004888218,0.00003870575,0.0001258251,9.172958e-7,0.000003004289,0.00006268828,0.000002930024,0.002895434,0.9962541,0.00004738435,0.0005596176,0.000004564531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8512741,0.002352083,0.1405285,0.0005281807,0.00018503,0.0001190483,0.0001625322,0.00124991,0.003600618],"genre_scores_gemma":[0.9379142,0.001094639,0.057851,0.000175848,0.00003154742,0.0000661778,0.000081865,0.0001213857,0.002663303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005991049,"threshold_uncertainty_score":0.002416074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005614070497198362,"score_gpt":0.2423905991962102,"score_spread":0.2367765286990118,"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."}}