{"id":"W1972699526","doi":"10.1021/ac800149d","title":"Multiple Surface Plasmon Resonances and Near-Infrared Field Enhancement of Gold Nanowells","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Institute for Microstructural Sciences","funders":"Genomic Health","keywords":"Rhodamine 6G; Discrete dipole approximation; Raman scattering; Plasmon; Chemistry; Surface plasmon resonance; Excitation; Nanosphere lithography; Localized surface plasmon; Electron-beam lithography; Surface plasmon; Wavelength; Optoelectronics; Optics; Dipole; Molecular physics; Raman spectroscopy; Nanotechnology; Materials science; Nanoparticle; Physics","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":[0.0001526018,0.0002360739,0.0002318484,0.0001571201,0.0001235104,0.0002166789,0.0001941652,0.0002583555,0.0004131438],"category_scores_gemma":[0.0003115417,0.0002156326,0.0001383847,0.00008677609,0.0002359155,0.0002737655,0.0002275698,0.0002014595,0.0001855354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001951383,"about_ca_system_score_gemma":0.00008317396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002717766,"about_ca_topic_score_gemma":0.0004434875,"domain_scores_codex":[0.9997984,0.00002243706,0.000009562271,0.00005705078,0.00008107561,0.0000315945],"domain_scores_gemma":[0.9998463,0.00004565822,0.00002876088,0.00002106508,0.00003484583,0.00002340657],"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":[0.00001338881,0.000004115594,0.00009074924,0.000008889861,0.00000111254,0.00002196578,0.0000102453,0.0002123569,0.9988895,0.00009362011,0.00001213113,0.0006420799],"study_design_scores_gemma":[0.000005175898,0.00004665453,0.0008500563,0.000001170165,0.000003493668,0.00006368385,0.000010943,0.004617775,0.9940342,0.00007616371,0.0002872783,0.000003484072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904935,0.0002380259,0.007033302,0.00004283079,0.00001468552,0.000006643655,0.0000323267,0.00006241014,0.002076349],"genre_scores_gemma":[0.9931902,0.0001005116,0.005735521,0.00001495398,0.000005769988,0.000006805882,0.00002946141,0.000009806603,0.0009068199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004131438,"threshold_uncertainty_score":0.001415908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614624781617389,"score_gpt":0.2317264166288931,"score_spread":0.2155801688127192,"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."}}