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Record W2520667073 · doi:10.1149/07514.0261ecst

Roles of Photon Scattering in Synchrotron X-ray Radiography of In Operando Visualizations of the Polymer Electrolyte Membrane Fuel Cell

2016· article· en· W2520667073 on OpenAlexaff
Nan Ge, Stéphane Chevalier, James Hinebaugh, Michael G. George, Jong‐Min Lee, Rupak Banerjee, Hang Liu, Daniel Muirhead, Pranay Shrestha, Aimy Bazylak

Bibliographic record

VenueECS Transactions · 2016
Typearticle
Languageen
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAttenuationSynchrotronAttenuation coefficientScatteringElectrolyteMaterials scienceX-rayRange (aeronautics)Beam (structure)OpticsPolymerPhotonAnalytical Chemistry (journal)ChemistryElectrodeComposite materialPhysicsChromatography

Abstract

fetched live from OpenAlex

A numerical model was developed to predict the attenuated component and the undesired scattered component in the measured X-ray intensity during water visualizations using synchrotron X-ray radiography. The scattering component was found to increase as a function of water thickness traversed by the X-ray beam, and this led to a decrease in the calibrated attenuation coefficient. Due to this relationship between the scattering component and the water thickness, a small water thickness range was demonstrated to produce highly representative attenuation coefficients that resulted in the improved accuracy of water quantifications. Therefore, it was recommended that the calibrated attenuation coefficient should be obtained based on a water thickness range that most appropriately matches the expected liquid water thickness in an operating polymer electrolyte membrane fuel cell.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.238
Teacher spread0.233 · 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 teacher head, not a consensus.

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

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

Citations2
Published2016
Admission routes1
Has abstractyes

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