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Record W585467319

Experimental Impacts into Feldspar Phenocrysts

2015· article· en· W585467319 on OpenAlexfundno aff
A. E. Pickersgill, P. Lindgren, M. J. Burchell, M. R. Lee, Darren F. Mark, M. C. Price

Bibliographic record

VenueENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCollege of Science and Engineering, University of MinnesotaScience and Technology Facilities CouncilUniversity of Glasgow
KeywordsHypervelocityImpact craterFeldsparMeteoriteGeologyShock metamorphismAstrobiologyShock (circulatory)QuartzMetamorphic rockMineralogyGeochemistryEarth sciencePaleontologyAstronomyPhysics
DOInot available

Abstract

fetched live from OpenAlex

Meteorite impact craters are the dominant surface feature on most terrestrial planetary bodies [1]. The extreme temperatures and pressures generated by hypervelocity impact events produce a variety of microscopic shock metamorphic effects in minerals, as well as non-exclusive shock-related features such as pervasive fracturing and brecciation.<p></p> Studies of shock effects in feldspar group minerals have been limited due to the the comparatively rapid rate at which feldspars weather, and the complexity of their microtextures which renders them difficult to study using conventional optical techniques. However, feldspars are becoming increasingly investigated for use as shock barometers due to their importance in planetary studies and meteoritics, where rocks often contain little or no quartz [e.g., 2]. This provides the motivation to examine more closely the effects of high-velocity impact of a projectile, in the method of [3], into a feldspathic target, in order to the resultant microstructural variation.<p></p>

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
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
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.018
GPT teacher head0.254
Teacher spread0.236 · 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 designBench or experimental
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

Citations0
Published2015
Admission routes1
Has abstractyes

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