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Record W2941317208 · doi:10.1016/j.cpletx.2019.100029

Quantification of nitric acid using photolysis induced fluorescence for use in chemical kinetic studies

2019· article· en· W2941317208 on OpenAlexfundno aff
Frank A. F. Winiberg, Carl J. Percival, Stanley P. Sander

Bibliographic record

VenueChemical Physics Letters · 2019
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Laser Applications
Canadian institutionsnot available
FundersUniversities Space Research AssociationAssociation of Canadian Universities for Research in AstronomyCalifornia Institute of TechnologyJet Propulsion LaboratoryNational Aeronautics and Space Administration
KeywordsPhotodissociationNitric acidFluorescenceReproducibilityExcited stateAnalytical Chemistry (journal)ChemistryPhotonDetection limitAbsorption (acoustics)Kinetic energyLaser-induced fluorescenceLaserPhotochemistryMaterials scienceAtomic physicsOpticsEnvironmental chemistryInorganic chemistryChromatography

Abstract

fetched live from OpenAlex

Previous laboratory investigations have predominantly relied on UV absorption measurement of [HNO3]. Whilst direct, this measurement is difficult at temperatures <298 K, where heterogeneous loss to cold surfaces is significant. Single and two photon photodissociation of HNO3 was studied in N2 and He at 193 and 248 nm, and a unique HNO3 detection method was established using two photons at 248 nm, with good reproducibility and limit of detection (∼1.25 × 1014 cm−3). Emissions from excited products have been identified spectroscopically, over a range of pressures and laser energies to support the HNO3 quantification method.

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 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 score0.008
Threshold uncertainty score0.702

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)0.0000.000

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 head0.057
GPT teacher head0.307
Teacher spread0.250 · 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.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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