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Characterization of High‐Gadolinium Y <sub>0.6</sub> Gd <sub>1.34</sub> Eu <sub>0.06</sub> O <sub>3</sub> Powder and Fabrication of Transparent Ceramic Scintillator Using Pressureless Sintering

2009· article· en· W2146488457 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Applied Ceramic Technology · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadiation Detection and Scintillator Technologies
Canadian institutionsCanadian Nutrition Society
FundersShanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences
KeywordsMaterials scienceCeramicSinteringGadoliniumCalcinationTransparent ceramicsScintillatorFabricationAnalytical Chemistry (journal)MineralogyMetallurgyOpticsCatalysis

Abstract

fetched live from OpenAlex

Comparatively high gadolinium contents are of primary importance for (Y,Gd) 2 O 3 :Eu scintillators because of expected higher scintillation intensity and higher light output of the materials. Transparent Y 0.6 Gd 1.34 Eu 0.06 O 3 ceramic, with a high gadolinium composition of ∼67 mol%, has been fabricated via vacuum sintering using synthesized sinterable powders. The precursor powder was coprecipitated with ammonium hydrogen carbonate as the precipitant and the powder calcined at 1100°C showed the best sintering activity. Transparent Y 0.6 Gd 1.34 Eu 0.06 O 3 ceramic, exhibiting an in‐line transmittance of 66.7% at 610 nm, was obtained by vacuum sintering at 1670°C for 2 h. Under X‐ray excitation, the ceramic exhibited characteristic emissions of the Eu 3+ ions.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.123
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.235
Teacher spread0.225 · 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