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Record W2032302530 · doi:10.1021/jp021650n

CH-Stretching Overtone Spectra of 3-Hexyne and Butane

2003· article· en· W2032302530 on OpenAlexaff
Bryan R. Henry, David M. Turnbull, Daniel P. Schofield, Henrik G. Kjaergaard

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2003
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Laser Applications
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsOvertoneChemistryAb initio quantum chemistry methodsAb initioPropaneSpectral lineSpectroscopyMoleculeOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

We have recorded vapor-phase CH-stretching overtone spectra of 3-hexyne in the Δ v CH = 2−8 regions and of 3-hexyne- d 10 in the Δ v CD = 2−7 regions. We have recorded CH-stretching overtone spectra of butane in the Δ v CH = 2−7 regions and of propane in the Δ v CH = 7 and 8 regions to facilitate comparison with the 3-hexyne spectra. The spectra were recorded at room temperature with the use of conventional and intracavity laser photoacoustic spectroscopy. The spectra can be explained in terms of a harmonically coupled local-mode model (HCAO) with one oscillator for each of the nonequivalent CH bonds. Spectral assignments are made and correlated with ab initio geometry optimized structures. The intensities of the CH stretching transitions are calculated using the HCAO local-mode model and ab initio dipole moment functions. Parameters for the calculations come from a local-mode analysis of the spectra and from ab initio calculations. Our simple calculations are in good agreement with the observed absolute and relative intensities. The ethyl group in 3-hexyne is freely rotating, but there is little difference in the CH bond length with the ethyl group position. No peaks due to internal methyl or ethyl rotation are observed in the spectra of 3-hexyne. The frequency of the in-plane methyl bond increases significantly in 3-hexyne compared to those in propane and butane.

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 score0.023
Threshold uncertainty score0.327

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 head0.006
GPT teacher head0.246
Teacher spread0.239 · 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

Citations11
Published2003
Admission routes1
Has abstractyes

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