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Record W4243012057 · doi:10.5741/gems.41.1.78

Gemological Abstracts

2005· article· en· W4243012057 on OpenAlexaff
A. A. Levinson, Christopher M. Breeding, Jo Ellen, Cole Vista, California Michelle, Walden Fink, Eric A. Fritz, R. Nicole Howie, Alethea Inns, David Kondo, Taijin Lu, Wendi Mayerson, Kyaw Soe, Keith Mychaluk, Joshua Sheby, James E. Shigley, Boris Shmakin, Russell Shor, Gia Carlsbad, Maha Tannous, Rolf Tatje, Christina Taylor, Sharon Wakefield, Synthetic Diamonds

Bibliographic record

VenueGems & Gemology · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMineralogy and Gemology Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGeologyMaterials science

Abstract

fetched live from OpenAlex

A new model is proposed for the formation of opal showing play-of-color, as well as potch (common opal).According to this new model, the essential requirements for opal formation are: (1) artesian "mound" springs with alkaline, silica-rich waters; (2) a mechanism for changing the physicochemical features of this water so that suitable silica spheres are precipitated in linear chains; and (3) the occurrence of suitable voids lined with clay-which acts as a semipermeable membrane to concentrate and purify the silica solution by ultrafiltration and dialysis.Active and extinct artesian mound springs are found in general proximity to several sedimentary rock-hosted opal fields in New South Wales, South Australia, and Queensland.In the Great Artesian Basin, the natural springs lie on a NEtrending line over 300 km long, subparallel to the Lightning Ridge opal fields.The lepispheres in play-of-color opal are very uniform in size (apparently within 2-3% of the mean size), indicating a batch process rather than a continuous one.The mixing of the high-pH spring water with cool, slightly acidic groundwater that has low total dissolved salts would decrease the pH, lower the temperature, and lower the ionic strength of the spring water; all three processes facilitate the formation of silica spheres.Montmorillonite (clay) can act as a semipermeable membrane and assist in the pressurization of the fluids for ultrafiltration.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.847
Threshold uncertainty score0.513

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1530.031

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 head0.017
GPT teacher head0.219
Teacher spread0.202 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2005
Admission routes1
Has abstractyes

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