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Record W1659589290 · doi:10.1029/2010gl044413

Sodium ion exosphere of Mercury during MESSENGER flybys

2010· article· en· W1659589290 on OpenAlexaff
J. Paral, P. Trávnı́ček, R. Rankin, D. Schriver

Bibliographic record

VenueGeophysical Research Letters · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsExospherePlanetSolar windMercury (programming language)AstrobiologySpacecraftPhysicsGeophysicsIonMagnetic fieldAstronomy

Abstract

fetched live from OpenAlex

Two flybys of Mercury by the NASA MESSENGER spacecraft on January 14 and October 6, 2008 provide insight into the spatial distribution of the heavy ion exosphere around the planet. The relatively quiet solar wind conditions and interplanetary magnetic field (IMF) orientation allow us to compare “in situ” observations with numerical simulations. During each flyby, the IMF had a strong radial Sun‐Mercury direction but nonzero northward and southward components for the first (M1) and second (M2) flybys, respectively. We show that comparative studies of particle tracing in stationary electromagnetic fields from a self‐consistent hybrid kinetic model provide a good characterization of Mercury's sodium ion exosphere when compared with MESSENGER observations.

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 score0.015
Threshold uncertainty score0.030

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)0.0000.000

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 head0.022
GPT teacher head0.286
Teacher spread0.263 · 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

Citations22
Published2010
Admission routes1
Has abstractyes

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