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Record W2085012451 · doi:10.1139/v01-015

Overtone intensities in neopentane and tetramethylsilane

2001· article· en· W2085012451 on OpenAlexvenueno aff
Michael W. P. Petryk, Bryan R. Henry

Bibliographic record

VenueCanadian Journal of Chemistry · 2001
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Laser Applications
Canadian institutionsnot available
Fundersnot available
KeywordsOvertoneNeopentaneChemistryTetramethylsilanePhotoacoustic spectroscopyAnharmonicitySpectroscopyOvertone bandAtomic physicsTetramethylureaAnalytical Chemistry (journal)Molecular physicsSpectral linePhysicsOrganic chemistryMolecule

Abstract

fetched live from OpenAlex

The CH vibrational overtone transitions of vapour phase neopentane-d 0 , -d 6 , -d 9 , and tetramethylsilane (TMS) are investigated via conventional absorbance spectroscopy and intracavity laser photoacoustic spectroscopy (ICL-PAS). The CH stretching overtones of neopentane-d 0 are observed in the energy range Δ V CH = 3–9 (8 400 to 22 000 cm –1 ) and in the range Δ V CH = 3–8 for the remaining neopentanes and TMS. While we have extended the range of previous studies, our main focus in this work has been on overtone intensities. The oscillator strengths of the neopentane-d 0 overtone transitions are determined directly by conventional absorbance spectroscopy for Δ V CH = 3–6 and via ICL-PAS with methane as an internal standard for Δ V CH = 4–7. The correspondence of measured intensities for the two techniques demonstrates the usefulness of the latter for higher overtone ICL-PAS spectra. The experimentally determined Morse parameters ω˜ and ω˜x as well as the harmonically coupled anharmonic oscillator (HCAO) model are used in conjunction with dipole moment functions that are derived from ab initio computations to calculate overtone transition intensities for the neopentanes and TMS. Key words: local mode, overtone transition, absolute intensity, photoacoustic spectroscopy.

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 score0.095
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 head0.007
GPT teacher head0.219
Teacher spread0.211 · 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

Citations14
Published2001
Admission routes1
Has abstractyes

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