{"id":"W2560069663","doi":"10.1017/s1431927615004328","title":"Origins and Contrast of the Electron Signals at Low Accelerating Voltage and with Energy-Filtering in the FE-SEM for High Resolution Imaging","year":2015,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hitachi (Canada); McGill University","funders":"","keywords":"Contrast (vision); Resolution (logic); Energy (signal processing); Electron; Voltage; Acceleration voltage; Materials science; Physics; Optics; Computer science; Artificial intelligence; Nuclear physics; Cathode ray; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007001078,0.0001733934,0.0002904354,0.00008517846,0.0002588723,0.0001600394,0.0001674753,0.00004464056,0.000004926475],"category_scores_gemma":[0.00002191332,0.0001037126,0.00003529491,0.0002143704,0.0002023368,0.0001560922,0.00008026542,0.00009066961,1.391991e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001186919,"about_ca_system_score_gemma":0.00004448453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001288353,"about_ca_topic_score_gemma":0.001524709,"domain_scores_codex":[0.9988641,0.0001014401,0.0002526685,0.0003284158,0.0001231806,0.0003301726],"domain_scores_gemma":[0.9994529,0.00007216913,0.0001672059,0.0002007549,0.00006327676,0.00004368637],"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":[0.0001298507,0.00002186721,0.003320877,0.00002643702,0.00001330879,9.449122e-7,0.0005535997,0.000006675971,0.9947013,0.0008589047,0.000122145,0.0002440639],"study_design_scores_gemma":[0.000524146,0.000140429,0.0006558638,0.000064586,0.0000956499,0.00002059003,0.0002291969,0.0004135013,0.9969323,0.0003768669,0.000412565,0.0001342699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840582,0.002020337,0.01335067,0.0002510314,0.00001763537,0.0002299289,0.00002174077,0.00002099654,0.00002948864],"genre_scores_gemma":[0.9960083,0.0001495217,0.00345389,0.0002333055,0.00002754417,0.00003708045,0.000007290399,0.00001401304,0.00006904707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01195013,"threshold_uncertainty_score":0.4229278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096279290604692,"score_gpt":0.2593115527258586,"score_spread":0.2483487598198117,"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."}}