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Spectral reflectance properties of ureilites

2010· article· en· W1526384328 on OpenAlexaff
E. A. Cloutis, Pierre Hudon, Christopher S. Romanek, J. L. Bishop, V. Reddy, M. J. Gaffey, P. S. Hardersen

Bibliographic record

VenueMeteoritics and Planetary Science · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsMcGill UniversityUniversity of Winnipeg
Fundersnot available
KeywordsMaficMeteoriteParent bodyPyroxeneChondriteSilicateReflectivityAbsorption (acoustics)MineralogySpectral lineGeologyAnalytical Chemistry (journal)OlivineChemistryAstrobiologyMaterials scienceGeochemistryOpticsPhysicsAstronomy

Abstract

fetched live from OpenAlex

Abstract– The 0.35–2.6 μm reflectance spectra of 18 ureilites have been examined in order to improve our understanding of the spectral reflectance properties of this meteorite class. Across this spectral range, ureilite spectra are characterized by a steep rise in reflectance over the 0.3 to approximately 0.7 μm range, low overall reflectance (<25%) and weak mafic iron silicate absorption bands in the 1 and 2 μm region. The weakness of these bands and the low reflectance are attributed to the presence of dispersed graphite and related carbonaceous phases, metal, and possibly shock. Wavelength positions of the mafic silicate absorption bands span a range of values, but are consistent with the presence of pyroxene and olivine. Ureilite spectra generally exhibit blue slopes across the 0.7–2.6 μm interval and exhibit many overall similarities to some carbonaceous chondrites. The weak features and spectral diversity of ureilites make reflectance spectroscopy‐based identification of a ureilite parent body challenging. As terrestrial alteration of ureilites is prevalent, spectral studies of falls are most useful for determining the spectral properties of likely parent bodies.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.205
Teacher spread0.197 · 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

Citations58
Published2010
Admission routes1
Has abstractyes

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