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Record W1673127922

The Effects of Porosity and Pore Geometry on Acoustic Velocities (and Elastic Moduli) in Ordinary Chondrites: Preliminary Results

2008· article· en· W1673127922 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLPI · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMeteoriteChondriteGeologyBrecciaMineralogyPorosityOrdinary chondriteWeatheringMatrix (chemical analysis)GeochemistryMaterials scienceAstrobiologyPhysicsComposite materialGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Composition, petrologic type, and terrestrial weathering have all been identified as potential factors that may result in acoustic velocity variations in meteorites [1]. Particularly large velocity variations have been observed in genomict meteorites typically composed of breccias with light coloured angular fragments in a dark coloured matrix. The light and dark regions of these meteorites are compositionally the same, thus the velocity difference has been attributed to a variation in the petrologic type between the fragments and matrix. This project tests the hypothesis that different pore geometries associated with petrologic type in meteorites and fracture distributions affect the compressional and shear wave velocities, and thus the elastic properties of the rock. Significant porosities have been reported in the literature for ordinary chondrites [2] and anomalously low acoustic velocities in chondrites have been attributed to the presence of micro-fractures [3]; however the relationship between pore characteristics and sonic velocity in meteorites has never been explored.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.055
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

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 head0.005
GPT teacher head0.187
Teacher spread0.182 · 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