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Record W2087777586 · doi:10.1093/mnrasl/slu092

A temporary earth co-orbital linked to interplanetary field enhancements

2014· article· en· W2087777586 on OpenAlexaff
Martin Connors, C. T. Russell, Hairong Lai

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society Letters · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsAthabasca University
FundersUniversità di PisaArizona State UniversityJet Propulsion LaboratoryNational Aeronautics and Space Administration
KeywordsPhysicsVenusAsteroidAstronomyInterplanetary spaceflightAstrobiologyInterplanetary dust cloudInterplanetary magnetic fieldEarth's orbitOrbit (dynamics)Solar windSolar SystemMagnetic fieldAerospace engineering

Abstract

fetched live from OpenAlex

Abstract Near-Earth asteroid 138175 (2000 EE104) will soon be temporarily resonant with Earth, but has a much longer residence in an orbit which features a trapping behaviour with frequent Earth and Venus encounters. The object has been identified as a possible source of material for interplanetary field enhancements, a magnetic phenomenon in the solar wind inferred to be due to dust arising from secondary collisions with 10-m scale objects injected into its path. Its horseshoe libration will be reversed by a very close encounter with Venus in 2251 CE. We characterize the orbit of this asteroid, model the dispersion of the primary collision products along its path, and discuss the non-gravitational motion of secondary dust in the solar wind.

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 score0.003
Threshold uncertainty score0.011

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)0.0030.000

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 head0.006
GPT teacher head0.199
Teacher spread0.194 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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