MétaCan
Menu
Back to cohort
Record W2022633087 · doi:10.2116/bunsekikagaku.57.549

Study on Spectral Shapes of K.ALPHA. Lines of Ammonium and Nitrate Nitrogen Using Electron Probe Microanalyzer and Molecular Orbital Calculation

2008· article· en· W2022633087 on OpenAlexaff
Jo Takeuchi, Kazuhiko Nishimura, Hideki Matsushima, Chizu Mitsui, Yasuaki Inoue

Bibliographic record

VenueBUNSEKI KAGAKU · 2008
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsOxford Instruments (Canada)
Fundersnot available
KeywordsChemistrySodium nitrateNitrogenElectron microprobeAmmoniumInorganic chemistryAmmonium nitrateNitrateSodiumAnalytical Chemistry (journal)Physical chemistryOrganic chemistryMineralogy

Abstract

fetched live from OpenAlex

An electron probe microanalyzer was applied to ammonium sulfate, ammonium nitrate and sodium nitrate to make chemical-state analyses of Kα lines of ammonium and nitrate nitrogen. The results inferred that the shape of the Kα lines in ammonium sulfate and ammonium nitrate was symmetric, and that of the Kα lines in sodium nitrate was asymmetric. To understand this asymmetry of the Kα lines in sodium nitrate theoretically, the electronic transition states of a nitrate ion cluster, related to the Kα lines of nitrogen, were calculated by the DV-Xα molecular orbital method. The results showed that the electronic transition states (transition energies and intensities), caused by chemical bonds between nitrogen and the adjacent oxygen atom, determined the shapes of the Kα lines of nitrogen.

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)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
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)0.0010.000

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 head0.016
GPT teacher head0.259
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 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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueBUNSEKI KAGAKUSame topicElectrochemical Analysis and ApplicationsFrench-language works237,207