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Record W4235088817 · doi:10.5741/gems.39.2.171

Gemological Abstracts

2003· article· en· W4235088817 on OpenAlexaff
A. A. Levinson, Jo Ellen, Cole Vista, California Claudia, D Andrea, V.S. Dombrovskiy, R. Nicole Howie, Alethea Inns, Taijin Lu, Wendi Mayerson, Jana Miyahira-Smith, Kyaw Soe, Keith Mychaluk, Joshua Sheby, Russell Shor, Gia Carlsbad, Maha Tannous, Rolf Tatje, Christina Taylor, Lila Taylor, Santa Cruz, Sharon Wakefield, Michelle Walden

Bibliographic record

VenueGems & Gemology · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMineralogy and Gemology Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGeology

Abstract

fetched live from OpenAlex

The degree of crystallinity (i.e., crystallite size) of agates from 11 locations on five continents was determined by powder Xray diffraction analysis. These agates formed within vesicles (gas cavities) in volcanic rocks; the ages of these rocks were obtained from the literature. The author found a strong correlation between agate crystallinity and age of the host rocks. Over geologic time, ageing allows the crystallite size to increase. Accordingly, the determination of agate crystallite size should allow an estimation of the approximate age of the host rock, which can be used to differentiate known agate deposits (since each has a unique age). The same correlation was deduced between agate density and age of the host rock.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.997

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)0.0100.004

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 head0.019
GPT teacher head0.212
Teacher spread0.193 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2003
Admission routes1
Has abstractyes

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