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Record W4407471956 · doi:10.1139/cjp-2024-0180

Single and double electron detachment absolute cross sections of H<sup>−</sup> and D<sup>−</sup> in collisions with diatomic and triatomic gases

2025· article· en· W4407471956 on OpenAlexvenueno aff
Siming Wang, Mingshuai Cui, Yongxing Du, Xin Su, Yifei Yang

Bibliographic record

VenueCanadian Journal of Physics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsTriatomic moleculeDiatomic moleculeAtomic physicsElectronNuclear physicsQuantum mechanicsMolecule

Abstract

fetched live from OpenAlex

Collisional single electron detachment (SED) and double electron detachment (DED) absolute cross sections of H− and D− with N2, O2, NO, N2O, and CO2 are measured by using the growth-rate method. The impact energy ranges from 10 to 30 keV. Except N2, the SED cross sections colliding with gases do not vary much with the incident velocity of H− or D−. While the DED cross sections show a slowly increasing tendency. In previous work, the SED absolute cross sections of H− or D− colliding with SF6 and CF4 are proportional to the bond length in target molecule and the radius of the incident anionic projectile. However, such dependency is not observed for the SED cross sections of diatomic and triatomic linear molecules. An analysis based on inelastic collision is used to understand the trends of SED and DED cross sections.

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)0.001
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.239
Teacher spread0.231 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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