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Record W4401627164 · doi:10.70231/amb.2023.003

Interesting and rare species at the exhibition of live fungi in Frýdek-Místek, 2023

2023· article· en· W4401627164 on OpenAlexaff
Jiří Lederer, Jana Tkačíková

Bibliographic record

VenueActa Musei Beskidensis. · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsMerck Canada Inc. (Canada)
Fundersnot available
KeywordsExhibitionArtNanotechnologyArt historyMaterials science

Abstract

fetched live from OpenAlex

During the collection of fungi for the exhibition of live fungi at the Museum of the Beskydy, Frýdek-Místek in 2023, 148 fungal taxa were recorded at seven major localities in the districts of Frýdek-Místek and Vsetín.These included five red-list taxa, namely Clavariadelphus truncatus (Missing [probably extinct] category), Lactarius repraesentaneus (Endangered category), Hydnellum peckii and Russula viscida (Near Threatened category).One taxon, Russula submembranacea, is classified in the Data Deficient category.ÚVOD Muzeum Beskyd Frýdek-Místek, p. o. tradičně pořádá podzimní výstavu živých hub ve frýdeckém zámku.V roce 2023 proběhla mykologická výstava nazvaná Živé houby v muzeu v termínu 18.-23.září 2023.Součástí výstavy byly kromě živých hub i panely s názornými texty a fotografiemi věnované mykologii.Na výstavě bylo možno vidět i část mykologické literatury, která je k dispozici v muzejní knihovně.V průběhu výstavy proběhlo několik komentovaných prohlídek pro školy i zájemce z řad veřejnosti.Značný zájem byl o mykologickou poradnu pro veřejnost v prostorách výstavy.Jako doprovodné akce k výstavě proběhly dvě mykologické exkurze.Mykologické nálezy z těchto dvou exkurzí jsou publikovány samostatně (Lederer 2024).

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.035
GPT teacher head0.224
Teacher spread0.189 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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