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Record W1658718984 · doi:10.1063/1.1412256

Energy disposal in CN(X 2Σ+) produced in the 157 nm photodissociation of acrylonitrile

2001· article· en· W1658718984 on OpenAlexaff
Jingzhong Guo, Tucker Carrington, S.V. Filseth

Bibliographic record

VenueThe Journal of Chemical Physics · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsYork University
Fundersnot available
KeywordsPhotodissociationEquipartition theoremAcrylonitrileDissociation (chemistry)Rotational energyRadicalAtomic physicsBond-dissociation energyPopulationChemistryVibrational energyPhotochemistryAnalytical Chemistry (journal)Excited statePhysical chemistryPhysicsPolymer

Abstract

fetched live from OpenAlex

Photodissociation of acrylonitrile has been studied at 157.6 nm through analysis of laser-induced fluorescence experiments. The CN(X 2Σ+) radicals formed in this dissociation are detected in vibrational levels up to v=6 and rotational population distributions are measured for vibrational levels v=0–3. The average energies found in vibration and rotation of CN are approximately equal and represent about 5% of the available energy if the vinyl radical is the co-fragment. This is close to the 7% expected on the basis of the equipartition theorem which suggests that energy disposal is largely statistical. The vibrational and rotational distributions however are not in good agreement with an energy-conserving prior distribution suggesting that dynamical factors play a significant role in energy disposal.

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)0.001
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
Metaresearch0.0000.001
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 head0.010
GPT teacher head0.251
Teacher spread0.241 · 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

Citations4
Published2001
Admission routes1
Has abstractyes

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