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Record W2323571279 · doi:10.1139/cjp-2014-0126

Comprehensive experimental and theoretical study of double-differential cross sections for CH<sub>4</sub> at 300 and 350 eV incident electron energies

2014· article· en· W2323571279 on OpenAlexvenueno aff
Murat Yavuz, N. Işık, Zehra Nur Özer, Melike Ulu, Mevlüt Doğan, Mohammed Sahlaoui, Nour El Houda Benmansour, B. Lasri, Mammar Bouamoud

Bibliographic record

VenueCanadian Journal of Physics · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsElectronAtomic physicsBorn approximationCoulombCross section (physics)Scattering cross-sectionDifferential (mechanical device)Electron ionizationElectron spectrometerWave functionNuclear physicsIonizationCathode rayQuantum mechanicsScatteringIon

Abstract

fetched live from OpenAlex

For the first time in the literature, the angular distribution of the double-differential cross section of a methane molecule is measured and calculated at 300 and 350 eV electron impact energies. Experiments were carried out with a conventional electron spectrometer. The theoretical results were obtained using the first Born approximation and the one-Coulomb wave model corrected by the Gamow factor to take into account the post-collision interaction between the outgoing electrons. The agreement between experiment and theory indicates that the one-Coulomb wave model is a reliable theoretical approach to describe electron–methane interactions.

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 score0.456
Threshold uncertainty score0.590

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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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
Published2014
Admission routes1
Has abstractyes

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