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Record W7132915624

Intrinsic Photophysical Properties of Gaseous Acriflavine Ions

2023· dissertation· W7132915624 on OpenAlexaff
Haley Hunter Dobbie

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsExcited stateAcriflavineFluorescenceIonFluorophoreEmission spectrumAcridineExcitation
DOInot available

Abstract

fetched live from OpenAlex

Fluorescence is a widely used analytical technique in several disciplines of science. In this work, mass-selected ions are trapped in a quadrupole mass spectrometer for laser-induced fluorescence, and the photophysical properties of the fluorophore acriflavine - including steady state emission and time-resolved fluorescence lifetime - are characterized in the gas phase to learn more about its intrinsic photophysics in the absence of solvent interactions. The steady state emission spectrum of gaseous acriflavine displays two peaks, which I attribute to emission from two excited electronic states, showing that Kasha’s Rule does not always hold for warm gaseous molecular ions. The effects of excitation wavelength and internalenergy on the measured emission spectrum are investigated to further understand the flow of energy in the excited state of the acridine scaffold. This work provides experimental data that can be used to improve our models and understanding of excited states, and energy flow among these states.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.027
GPT teacher head0.326
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2023
Admission routes1
Has abstractyes

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