{"id":"W4414243591","doi":"10.1016/j.ultramic.2025.114238","title":"High-Resolution EELS in an aberration-corrected LEEM: Design of electrostatic transfer lenses for hemispherical filters","year":2025,"lang":"en","type":"article","venue":"Ultramicroscopy","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de recherche du Québec; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Electron optics; Cardinal point; Electron; Image plane; Electron energy loss spectroscopy; Diffraction; Cathode ray; Image resolution; Spectroscopy; Resolution (logic)","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":[0.0006957033,0.0006816796,0.0005104754,0.0004200423,0.0004483786,0.000841541,0.001018465,0.0006694295,0.001472387],"category_scores_gemma":[0.0005240746,0.0004420627,0.0003045482,0.0005723824,0.0004118192,0.001031773,0.0006522167,0.0004428964,0.0006490611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518241,"about_ca_system_score_gemma":0.001024924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001601123,"about_ca_topic_score_gemma":0.005699105,"domain_scores_codex":[0.9996014,0.00004221049,0.00002104229,0.00009117162,0.0001863608,0.0000577819],"domain_scores_gemma":[0.999377,0.0001561306,0.0001661181,0.00005930023,0.0001881309,0.00005351304],"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":[0.0001805197,0.00005060047,0.0008004127,0.0001207672,0.00001542807,0.00009076151,0.0001225814,0.002906783,0.9760273,0.003529265,0.0006092129,0.01554631],"study_design_scores_gemma":[0.00002409554,0.0002443617,0.002358678,0.00001531588,0.00001413424,0.0001622158,0.00007634592,0.02366751,0.9646412,0.0003678302,0.008387799,0.0000405792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4303353,0.001492347,0.5564539,0.0003555662,0.00007555116,0.0002477005,0.0005519653,0.001243944,0.009243715],"genre_scores_gemma":[0.4649192,0.0009790701,0.5237343,0.0001431696,0.00002762414,0.000223414,0.0003365806,0.0002507051,0.009385906],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001601123,"threshold_uncertainty_score":0.01101559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318169278102311,"score_gpt":0.2905629670570689,"score_spread":0.2773812742760458,"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."}}