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Record W4393877188 · doi:10.5281/zenodo.7971363

Dataset for: Characterization of local deformation around hydrides in Zircaloy-4 using conventional and high angular resolution electron backscatter diffraction

2023· dataset· en· W4393877188 on OpenAlexaffabout
Ruth Birch, James O. Douglas, T. Ben Britton

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typedataset
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsElectron backscatter diffractionCharacterization (materials science)Angular resolution (graph drawing)Electron diffractionDeformation (meteorology)Materials scienceDiffractionBackscatter (email)ElectronHigh resolutionOpticsPhysicsGeologyComposite materialRemote sensingNanotechnologyNuclear physicsComputer scienceMathematics

Abstract

fetched live from OpenAlex

Datasets for: Characterization of local deformation around hydrides in Zircaloy-4 using conventional and high angular resolution electron backscatter diffraction Ruth M. Birch<sup>1,2*</sup>, James O. Douglas<sup>1</sup>, T. Ben Britton<sup>1,2</sup> Department of Materials, Imperial College London, Exhibition Road, London, UK, SW7 2AZ Department of Materials Engineering, University of British Columbia, Frank Forward Building, 309-6350 Stores Road, Vancouver, BC, Canada V6T 1Z4 --- h5 files for all 4 examples used in the paper: Example 1: JustGBZrH_20kx_WD16-4_DD17_T10-4_Px100nm Example 2: ZrH_WD16_DD18_T10-4_px0 Example 3: 20kx_WD16-5_DD17_T10-2_Px0-1um. Example 4: ZrHSpikes_18kx_WD16-5_DD17_T10-2_Px100nm<br> High quality figures for all figures in the paper (600 dpi)

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.443
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.036
GPT teacher head0.257
Teacher spread0.221 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicNuclear Materials and PropertiesFrench-language works237,207