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An Effect of Boric Acid on the Structure and Luminescence of Yttrium Orthoborates Doped with Europium Synthesized by Two Different Routines

2024· preprint· en· W4399389783 on OpenAlexafffund
Irena Kostova, Tinko Eftimov

Bibliographic record

VenuePreprints.org · 2024
Typepreprint
Languageen
FieldMaterials Science
TopicLuminescence Properties of Advanced Materials
Canadian institutionsUniversité du Québec en Outaouais
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEuropiumYttriumLuminescenceBoric acidDopingMaterials scienceNuclear chemistryChemistryInorganic chemistryOptoelectronicsOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

In this paper, we present the characteristics of photoluminescent YBO3 successfully synthesized through a solid-state reaction and microwave-assisted method. We used yttrium oxide and boric acid in excess as starting reagents. The synthesis conditions are reflected in fluorescent characteristics and the structure. Excess boric acid causes structural changes, as observed by the FTIR spectroscopy analysis. The FTIR spectra analysis of the structure provided valuable insights into the phase composition and modifications induced by varying amounts of boric acid and synthesis methods. The identified structural features contribute to the understanding of the synthesized samples' characteristics and their potential applications in various fields such as illumination and displays and narrow-band fluorescent smartphone readable markers.

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)0.001
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 score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
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 head0.043
GPT teacher head0.302
Teacher spread0.259 · 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.

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
Published2024
Admission routes2
Has abstractyes

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