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Record W1999245193 · doi:10.1063/1.1287400

Low-energy electron scattering cross section for the production of CO within condensed acetone

2000· article· en· W1999245193 on OpenAlexaff
Martin Lepage, M. Michaud, Léon Sanche

Bibliographic record

VenueThe Journal of Chemical Physics · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsUniversité de Sherbrooke
FundersMedical Research Council
KeywordsExcited stateElectron energy loss spectroscopyAtomic physicsElectronFragmentation (computing)Electron scatteringChemistryElectron ionizationScatteringIonSpectroscopyElectron captureElectron spectroscopyMaterials sciencePhysicsIonizationOptics

Abstract

fetched live from OpenAlex

We report on the low-energy electron induced production of CO within thin solid films of acetone condensed at low temperature on a solid Ar substrate. The CO fragments, which remain trapped within the bulk of the acetone film, are detected in situ via their first electronic state a 3Π using high-resolution electron-energy-loss spectroscopy. The production of CO is studied as a function of the electron energy (2–25 eV), electron dose, and film thickness. The energy dependence of CO production is calibrated in terms of an electron scattering cross section σp. It is characterized by an energy threshold at 8 eV, a strong rise up to about 14 eV, and a broad maximum of σp≈6.8×10−17 cm2 at 16 eV followed by a relatively small and monotonous decrease up to 25 eV. The production of CO is discussed in terms of the formation of several core-excited electron resonances, which may lead directly to the fragmentation of the molecule via dissociative electron attachment or indirectly by decaying into an entirely repulsive part of the corresponding neutral excited state and positive ion states.

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 score0.069
Threshold uncertainty score0.362

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 head0.010
GPT teacher head0.268
Teacher spread0.258 · 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

Citations47
Published2000
Admission routes1
Has abstractyes

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