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Record W3172253876 · doi:10.1166/asem.2015.1698

Multicomponent (Lu, Y, Gd)<SUB>3</SUB>(Ga, Al)<SUB>5</SUB>O<SUB>12</SUB> Garnets—A New Kind of High Light Yield Scintillating Material

2015· article· en· W3172253876 on OpenAlexaff
J. Mareš, M. Nikl, Alena Beitlerová, Kei Kamada, Akira Yoshikawa, K. Blažek, А. Krasnikov

Bibliographic record

VenueAdvanced Science Engineering and Medicine · 2015
Typearticle
Languageen
FieldMaterials Science
TopicLuminescence Properties of Advanced Materials
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsChemistry

Abstract

fetched live from OpenAlex

Short overview of scintillating properties of multicomponent (Lu,Y,Gd)3(Ga,Al)5O12 garnets and a comparison with properties of Ce3+- and Pr3+- doped single or mixed rare earth aluminum garnets RE3+Al3+O12 where RE are Y, Lu or their mixture in asked ratio, will be presented. The highest light yield up to 27000 ph/MeV was observed on LuAG:Ce while that observed on LuAG:Pr can reach similar to 20000 ph/MeV at 10 microsec long shaping time. These values are almost only one half of those of well prepared multicomponent Gd3Ga3Al2O12:Ce crystal with light yield similar to 50000 ph/MeV.

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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesMeta-epidemiology (narrow)
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 score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0010.004
Open science0.0030.002
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 head0.017
GPT teacher head0.236
Teacher spread0.220 · 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 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

Citations0
Published2015
Admission routes1
Has abstractyes

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