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Record W2166359285 · doi:10.1039/c0nr00126k

Luminescence resonance energy transfer from an upconverting nanoparticle to a fluorescent phycobiliprotein

2010· article· en· W2166359285 on OpenAlexafffund
Fiorenzo Vetrone, Rafik Naccache, Christopher G. Morgan, John A. Capobianco

Bibliographic record

VenueNanoscale · 2010
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaRoyal Society
KeywordsPhycobiliproteinPolyethylenimineLuminescenceNanoparticleFluorescenceEnergy transferMaterials scienceAllophycocyaninFörster resonance energy transferPhycoerythrinPhotochemistryPhosphorNanotechnologyYtterbiumDopingChemistryOptoelectronicsOptics

Abstract

fetched live from OpenAlex

Water dispersible upconverting polyethylenimine (PEI)-capped NaYF(4) nanoparticles co-doped with trivalent erbium (Er(3+)) and ytterbium (Yb(3+)) were prepared via solvothermal synthesis with an 18 nm average particle diameter. These upconverting nanoparticles can be used to sensitize a light-harvesting phycobiliprotein (R-Phycoerythrin) via luminescence resonance energy transfer (LRET).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.024
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.230
Teacher spread0.217 · 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

Citations30
Published2010
Admission routes2
Has abstractyes

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