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Record W4242563823 · doi:10.5741/gems.38.2.192

Gemological Abstracts

2002· article· en· W4242563823 on OpenAlexaff
A. A. Levinson, Troy Blodgett, Anne Blumer, Jo Ellen, Cole Vista, California Darmour, R. Nicole Howie, Jeff Lewis, Taijin Lu, Wendi Mayerson, Kyaw Soe, Joshua Sheby, James E. Shigley, Russell Shor, Gia Carlsbad, Jana Miyahira-Smith, Maha Tannous, Rolf Tatje, Lila Taylor, Santa Cruz, Paige Tullos, Sharon Wakefield

Bibliographic record

VenueGems & Gemology · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMineralogy and Gemology Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGeology

Abstract

fetched live from OpenAlex

Harvesting of saltwater pearls in China extends back to 200 BC, but only in the last 30-40 years have cultured saltwater pearls been farmed there.Production is mostly from the Akoya pearl oyster Pinctada imbricata and is limited to the southern provinces of Guangxi, Guangdong, and Hainan, which have suitable water temperature.The first private saltwater cultured pearl farms were established in 1986.Production grew rapidly, and by 1995 it reached ~15 tons/year.Production subsequently reached ~20 tons/year, but recently it has decreased in both quality and quantity due to several factors (e.g., environmental degradation).This article provides details of the Chinese Akoya pearl culturing and farming processes, which have many similarities to those used in the production of freshwater cultured pearls.Unfortunately, the industry now faces a number of serious infrastructure and environmental challenges.The existing farms are aging, and there is little capital available for improvements in facilities or techniques.Efforts to increase production have caused overcrowding and a further reduction in the quality of the cultured pearls.JEC Conjuring blue magic.T. Redgrave, Readers Digest (New Zealand), Vol.158, No. 950, June 2001, pp.40-48.Cultured mabe pearls from the abalone species Haliotis iris (paua in the Maori language), which are unique to New Zealand, were introduced to the world markets a decade ago.Highly acclaimed for their iridescent colors, they commonly show vivid blues, greens, and purples.They are produced in five farms (one landbased), located about 60 km east of Christchurch.Details of the operations at one farm are presented, including the gathering of Gemological

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)0.001
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 score0.747
Threshold uncertainty score0.845

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2530.051

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 head0.036
GPT teacher head0.200
Teacher spread0.163 · 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
Published2002
Admission routes1
Has abstractyes

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