{"id":"W4288554194","doi":"10.1021/acsphotonics.9b00131.s001","title":"Orbital Angular Momentum and Energy Loss Characterization\\nof Plasmonic Excitations in Metallic Nanostructures in TEM","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electron energy loss spectroscopy; Plasmon; Angular momentum; Nanostructure; Electron; Surface plasmon; Transmission electron microscopy; Characterization (materials science); Scanning transmission electron microscopy; Spectroscopy; Physics; Condensed matter physics; Materials science; Optics; Nanotechnology; Quantum mechanics","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":[0.0002130277,0.0001453443,0.0000949876,0.0003537489,0.0001459715,0.0003052913,0.0001967714,0.000171939,0.0004341502],"category_scores_gemma":[0.0003208998,0.0001105224,0.00006551528,0.0001484314,0.0004513513,0.0003031349,0.0002248709,0.0002391267,0.0001292958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002060443,"about_ca_system_score_gemma":0.00006698517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003358152,"about_ca_topic_score_gemma":0.0004922994,"domain_scores_codex":[0.9999192,0.00001049212,0.000004384008,0.00002329354,0.00003416965,0.000008451823],"domain_scores_gemma":[0.9998338,0.0000433309,0.00003112771,0.00003472914,0.00004593954,0.00001113904],"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":[0.00007143755,0.00001440961,0.001154379,0.00003567246,0.000002923361,0.00005115612,0.0001203083,0.0003501038,0.9938547,0.001142278,0.00003775593,0.003164748],"study_design_scores_gemma":[0.000004710716,0.0000548541,0.003493597,0.000005118885,0.000003815211,0.0001065303,0.00006397493,0.009505928,0.9858243,0.0003170617,0.0006127675,0.000007406935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980697,0.000163739,0.01714157,0.00002729355,0.000009457077,0.000009851152,0.00008992679,0.00008861708,0.001772618],"genre_scores_gemma":[0.981676,0.0001384353,0.0167368,0.00001413235,0.000002690609,0.00001120435,0.00008580655,0.0000230698,0.001311803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004341502,"threshold_uncertainty_score":0.001494944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049007875452766,"score_gpt":0.1762496253509127,"score_spread":0.145759546596385,"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."}}