{"id":"W1964815354","doi":"10.1017/s1431927609092587","title":"What is the Best Beam Energy for X-Ray Microanalysis of Nanomaterials in Electron Microscopy?","year":2009,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Centre for Research in Astrophysics of Québec; McGill University","funders":"","keywords":"Microanalysis; Nanomaterials; Electron microscope; Materials science; X-ray; Microscopy; Energy (signal processing); Cathode ray; Nanotechnology; Optics; Analytical Chemistry (journal); Electron; Chemistry; Physics; Nuclear physics; Environmental chemistry","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":[0.005363856,0.0005407517,0.001874593,0.00125714,0.001028679,0.002615517,0.001458217,0.003340006,0.005607795],"category_scores_gemma":[0.008660993,0.0008807807,0.0004870981,0.00111094,0.001502539,0.007016651,0.00103083,0.00171501,0.002050757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000688217,"about_ca_system_score_gemma":0.0008642215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004815616,"about_ca_topic_score_gemma":0.001513203,"domain_scores_codex":[0.9985524,0.0005704131,0.0001456118,0.0001338643,0.0004508051,0.0001469722],"domain_scores_gemma":[0.9961975,0.002217288,0.0003114748,0.0002317019,0.0008819744,0.0001601049],"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":[0.001890515,0.0004661733,0.01370422,0.009135097,0.0005610021,0.001587004,0.0007192777,0.005663892,0.5433597,0.06155438,0.02561657,0.335742],"study_design_scores_gemma":[0.0002680565,0.0005504674,0.01241829,0.003438326,0.0006337811,0.004981615,0.002294306,0.01693034,0.7597904,0.132837,0.0655397,0.0003177795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2443076,0.2605459,0.3700635,0.08382244,0.004744609,0.0003455808,0.001212454,0.001547629,0.03341028],"genre_scores_gemma":[0.6463641,0.1005056,0.2367243,0.006900502,0.0008573109,0.0003029763,0.000394441,0.0009074173,0.007043487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005607795,"threshold_uncertainty_score":0.0283671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007525830712472788,"score_gpt":0.2851186218581236,"score_spread":0.2775927911456508,"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."}}