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Record W7030370442

Mushrooms of West Virginia and the Central Appalachians

2016· article· en· W7030370442 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2016
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsWest virginiaMushroomHabitatNatural (archaeology)Quarter (Canadian coin)Glossary
DOInot available

Abstract

fetched live from OpenAlex

With its dense forests and plentiful rainfall, West Virginia and the rest of the Central Appalachian region is an almost perfect habitat for hundreds of varieties of wild mushrooms. For the mushroom hunter, this vast bounty provides sheer delight and considerable challenge, for every outdoor excursion offers the chance of finding a mushroom not previously encountered. For both the seasoned mycologist and the novice mushroom hunter, Mushrooms of West Virginia and the Central Appalachians serves as a solid introduction s of the region. Some 400 species are described and illustrated with the author’s own stunning color photographs, and many more are discussed in the text. Detailed mushroom descriptions assure confident identifications. Each species account includes remarks about edibility and extensive commentary to help distinguish similar species. A comprehensive glossary of specialized mycological terms is provided. "Includes 400 full color photographs showing the distinctive features of each species in their natural habitats. Each photo includes a text that describes the mushroom, tells its common and scientific names, discusses look-alike species and whether or not it might make you sick."—Dominion (WV) Post "Anyone, experienced or amateur, who is interested in collecting mushrooms and related fungi in the eastern US should purchase this book. Even those who already have mushroom books should buy it, as it includes many species of fungi not usually found in similar books."—Native Plants "The most striking attribute of the book is the high quality of the photographs that illustrate all of the species included. Virtually all of them were photographed in their natural habitat with all of the important macroscopic characteristics shown. The exceptionally good color reproduction will greatly facilitate identification by amateurs and professionals alike."—Choice "The author displays an excellent grasp of current scholarship…His presentation is detailed, while engaging, and entertaining throughout…descriptions are clear, concise, and accurate….This book will appeal to beginners and also seasoned mushroom gatherers."—Don Yeltman "An impressive new field guide. . . . Certainly one of the most thorough books available on this subject, and its generous use of color photography, clear organization, and succinct writing make it one of the most user friendly."—Goldenseal "A first-rate field guide. . . . A ‘must’ for all mushrooming in the Appalachians, and will be required by all concerned with the identification, distribution, and ecology of macromycetologists in North America."—Mycotaxon "A splendid book. These folks are thorough, and Bill's book is evidence of their dedication and persistence."—Paul Goland "An excellent guide."—West Virginia

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.010
GPT teacher head0.215
Teacher spread0.205 · 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 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
Published2016
Admission routes1
Has abstractyes

Explore more

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