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Record W2029238658 · doi:10.1029/2007jd009690

N<sub>2</sub>O production by high energy auroral electron precipitation

2008· article· en· W2029238658 on OpenAlexaff
K. Semeniuk, J. C. McConnell, J. J. Jin, J. Jarosz, C. D. Boone, P. F. Bernath

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsUniversity of WaterlooYork University
Fundersnot available
KeywordsMesosphereThermosphereElectron precipitationAtmospheric sciencesPrecipitationAtmosphere (unit)Polar vortexPolarPhysicsIonosphereStratosphereEnvironmental scienceGeophysicsMagnetosphereMeteorologyPlasmaAstronomy

Abstract

fetched live from OpenAlex

The Fourier transform spectrometer on SCISAT‐1 observed enhanced concentrations of N2O above 50 km in February of 2004 and 2006 in the wintertime polar region. These anomalously high concentrations are associated with the transport of high levels of NOx in the polar night region from the upper mesosphere and lower thermosphere in both cases following sudden warming events in the middle of January. The NOx is produced by auroral electron precipitation. Simulations using a middle atmosphere chemistry climate model show significant amounts of N2O are produced in the upper mesosphere from the reaction of NO2 and ground state atomic nitrogen. Thus, N2O acts as a signature of energetic electron precipitation. The model results exhibit polar‐night‐confined descent of NOx in the wake of sudden warmings and other dynamical regimes when the polar vortex intensifies at high latitudes in the mesosphere.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.012
GPT teacher head0.266
Teacher spread0.254 · 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 designObservational
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

Citations30
Published2008
Admission routes1
Has abstractyes

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