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Record W3039345594 · doi:10.1017/s1431927600036436

On the Measurement of Total Elastic Cross-sections in the ESEM or VPSEM Using X-Ray Microanalysis

2000· article· en· W3039345594 on OpenAlexaff
Raynald Gauvin, David C. Joy

Bibliographic record

VenueMicroscopy and Microanalysis · 2000
Typearticle
Languageen
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsEnvironmental scanning electron microscopeCross section (physics)Elastic scatteringMicroanalysisScatteringFaraday cageOpticsMonte Carlo methodFaraday cupScanning electron microscopeBeam (structure)Electron scatteringMaterials scienceAtomic physicsPhysicsChemistryMathematicsStatistics

Abstract

fetched live from OpenAlex

Abstract It is of paramount importance to know the total elastic-scattering cross sections of the gases which are present in the specimen chamber of the variable pressure scanning electron microscope (VP-SEM) or in the environmental SEM (ESEM) since these values are needed to compute the width of the beam broadening skirt by the use of Monte Carlo simulations. However, these values are not well known for even the most common gases because the vibrational modes of the molecules add another contribution to the usual value of the elastic scattering cross-section. To overcome this difficulty a method has been proposed to measure total elastic cross-sections which is based on a measurement on the unscattered beam current as a function of the chamber pressure using a Faraday cup. The total elastic cross-sections are then deduced using the well-known exponential decay law.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.301
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2000
Admission routes1
Has abstractyes

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