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Record W6887369332 · doi:10.15468/eabryj

Virginia Tech University, Massey Herbarium - Fungi

2022· dataset· en· W6887369332 on OpenAlexaboutno aff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2022
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHerbariumTundraNational museumVirginia techCollection developmentBotanical gardenFlora (microbiology)

Abstract

fetched live from OpenAlex

The mycological collections at Virginia Tech include primarily Basidiomycetes with emphases on the Agaricales, Boletales, Gasteromycetes, and the Aphyllophorales. In addition, a small Ascomycete collection with emphasis on Discomycetes is present. The collection has been a pivotal part of the program of teaching and research in mycology over the past from 1970 through 2005. With the retirement of Dr. Orson K. Miller, the mycological collection entered a static stage in terms of growth. In 2012, the bulk of the collection was transferred to the New York Botanical Garden with 5400 specimens from the Southeastern United States remaining at VPI. Many collections are complemented by fresh notes, color transparencies and black and white negatives. A Microsoft Access database contains nearly 15,000 records, including all specimens currently housed at VPI. The mycological herbarium is participated in the Macrofungi Collections Consortium Digitization Project during 2013-2014 and is now available online. Prior to being moved to the New York Botanical Garden, the collection contained an estimated 29,500 specimens. Geographical coverage included major collections from Virginia and the Appalachian region, central Idaho and northwestern Montana. In addition, an Alaskan collection numbered more than 6000 with emphasis on arctic and alpine tundra fungi. Major foreign collection were from Europe, Western Australia, Republic of Korea and from The Greater Antilles, especially Puerto Rico, the Dominican Republic, and Jamaica. Additional collections came from Canada, Japan, South Africa, and Thailand. Those interested in consulting specimens from outside the SE United States region should contact the New York Botanical Garden.

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)0.002
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: Dataset · Consensus signal: none
Teacher disagreement score0.427
Threshold uncertainty score0.818

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.005
Science and technology studies0.0020.000
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.4270.326

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 head0.011
GPT teacher head0.204
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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