{"id":"W2075751828","doi":"10.1017/s1431927606064828","title":"High EDS Count Rates Achieved by Design Improvements for an Analytical Transmission Electron Microscope.","year":2006,"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":"Oxford Instruments (Canada)","funders":"","keywords":"Transmission electron microscopy; Microanalysis; Electron microscope; Materials science; Microscope; Analytical Chemistry (journal); Nanotechnology; Optics; Physics; Chemistry; Chromatography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009011639,0.0005240527,0.0007389849,0.0002130128,0.0005726473,0.0004621596,0.0004361548,0.0002567219,0.000198182],"category_scores_gemma":[0.00001116161,0.0004611172,0.0002023379,0.0003818462,0.0002259029,0.0003862624,0.00004470342,0.0002117048,0.00001454718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884107,"about_ca_system_score_gemma":0.0001148847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175742,"about_ca_topic_score_gemma":0.00009517317,"domain_scores_codex":[0.9967842,0.0001927108,0.0006921453,0.001051201,0.000249658,0.001030126],"domain_scores_gemma":[0.9988838,0.00009101389,0.000227343,0.0004482157,0.0001464079,0.0002032113],"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":[0.000494017,0.0003810658,0.0001407609,0.00003739893,0.00006332248,0.00000144329,0.00003900662,0.00001210869,0.9838122,0.0002404907,0.01382278,0.0009553894],"study_design_scores_gemma":[0.001055111,0.001190023,0.00005586057,0.00002330778,0.0004319565,0.000006362663,0.00001372879,0.0007733722,0.9840485,0.001152792,0.01072257,0.0005264153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7331893,0.002701511,0.2626605,0.000239277,0.00006098887,0.0007376614,0.0001665227,0.0002068352,0.00003742121],"genre_scores_gemma":[0.8640468,0.0008092935,0.1299345,0.0007880891,0.000181443,0.0002322055,0.0007522331,0.0001232551,0.003132126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.132726,"threshold_uncertainty_score":0.9997841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009589892663299604,"score_gpt":0.2919180791712098,"score_spread":0.2823281865079102,"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."}}