{"id":"W2126077170","doi":"10.1017/s1431927614000609","title":"Toward 10 meV Electron Energy-Loss Spectroscopy Resolution for Plasmonics","year":2014,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Electron energy loss spectroscopy; Plasmon; Resolution (logic); Deconvolution; Surface plasmon; Spectroscopy; Spectral line; Optics; Surface plasmon resonance; Materials science; Energy (signal processing); Localized surface plasmon; Scanning transmission electron microscopy; Atomic physics; Physics; Computational physics; Transmission electron microscopy; Nanotechnology; Nanoparticle","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":[0.001920465,0.0009481966,0.0006917155,0.0005459301,0.0002954564,0.001195112,0.001696965,0.001917208,0.003167581],"category_scores_gemma":[0.003477031,0.0006677862,0.0004043595,0.0003878932,0.0007354061,0.001960678,0.001178455,0.002224216,0.001311946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145464,"about_ca_system_score_gemma":0.0007330047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006668567,"about_ca_topic_score_gemma":0.001202116,"domain_scores_codex":[0.9989749,0.0002062664,0.0000457535,0.0001723433,0.0005207898,0.00007994008],"domain_scores_gemma":[0.9978074,0.001334122,0.0001966371,0.0002567433,0.000337162,0.00006787162],"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":[0.00058063,0.0003287204,0.00243154,0.0005717902,0.00006609994,0.0002059896,0.0002485536,0.02032897,0.8966586,0.02588205,0.001410934,0.05128613],"study_design_scores_gemma":[0.00004881744,0.0002403814,0.002072608,0.0001114541,0.00003370009,0.0005708887,0.00009842296,0.2065123,0.7686381,0.01237205,0.009227289,0.00007392411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1851113,0.004161307,0.800051,0.001402748,0.0001752074,0.00009363833,0.0001919843,0.002634142,0.006178592],"genre_scores_gemma":[0.2706137,0.001053649,0.7245374,0.0002502491,0.00003737047,0.0001061175,0.0002017367,0.0003810317,0.002818759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003167581,"threshold_uncertainty_score":0.01059657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006443275199235961,"score_gpt":0.290170265205929,"score_spread":0.283726990006693,"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."}}