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Record W2067170408 · doi:10.1139/p08-107

Fourier transform microwave spectrum of and Born–Oppenheimer breakdown effects in tungsten monoxide, WOThis article is part of a Special Issue on Spectroscopy at the University of New Brunswick in honour of Colan Linton and Ron Lees.Dedicated to Ronald M. Lees and Colan Linton, in recognition of their outstanding contributions to science.

2009· article· en· W2067170408 on OpenAlexaffvenueabout
Christine Krumrey, S.A. Cooke, Douglas K. Russell, Michael C. L. Gerry

Bibliographic record

VenueCanadian Journal of Physics · 2009
Typearticle
Languageen
FieldChemistry
TopicMolecular Spectroscopy and Structure
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIsotopomersPhysicsAtomic physicsHyperfine structureGround stateExcited stateSpectrometerFourier transformMicrowaveSpectroscopySpectral lineOpticsQuantum mechanics

Abstract

fetched live from OpenAlex

Rotational transitions of eight isotopomers of tungsten monoxide, WO, in its X0 + ground electronic state, have been measured in the frequency range 22–26 GHz, using a cavity Fourier transform microwave spectrometer. The samples were prepared by laser ablation of W metal in the presence of O 2 and stabilized in pulsed supersonic jets of Ne or Ar. Only the J = 1–0 transition was accessible within the frequency range of the spectrometer. It was measured for the ground (v = 0) and two excited (v = 1, 2) vibrational states. Hyperfine structure due to 183 W nuclear spin-rotation coupling was found for 183 WO. The overall spectral fit used a Dunham-type expression including Born–Oppenheimer breakdown parameters. Only the v = 0 and 1 states could be fit to the measurement accuracy because of a small perturbation of the v = 2 state. It was necessary to account for the finite nuclear size of the W nucleus in the fit. The resulting parameter V 01 W agreed well with a value calculated using density functional theory. Equilibrium internuclear distances r e have been evaluated.

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 score0.077
Threshold uncertainty score1.000

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 head0.222
Teacher spread0.216 · 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

Citations7
Published2009
Admission routes3
Has abstractyes

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