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Record W4401576663 · doi:10.1002/adom.202470072

Equal Rights for Activators – Ytterbium to Terbium Cooperative Sensitization in Molecular Upconversion (Advanced Optical Materials 23/2024)

2024· article· en· W4401576663 on OpenAlex
Federico Pini, Richard C. Knighton, Lohona K. Soro, Loı̈c J. Charbonnière, Marta Maria Natile, Niko Hildebrandt

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

VenueAdvanced Optical Materials · 2024
Typearticle
Languageen
FieldMaterials Science
TopicLuminescence Properties of Advanced Materials
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTerbiumYtterbiumPhoton upconversionMaterials scienceSensitizationOptoelectronicsOptical materialsNanotechnologyDopingLuminescence

Abstract

fetched live from OpenAlex

Understanding Molecular Upconversion In upconversion nanoparticles, the concentration of sensitizer ions is usually 9-fold higher than the activator ion concentration. In upconversion molecules, equal amounts of sensitizers and activators lead to brightest upconversion emission. In their Research Article (article number 2400423), Marta Maria Natile, Niko Hildebrandt, and co-workers apply advanced modeling to better understand the interaction of sensitizers and activators in nonanuclear lanthanide complexes.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.042
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
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 head0.009
GPT teacher head0.270
Teacher spread0.260 · 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