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Record W4390870703 · doi:10.22621/cfn.v137i1.3081

Recent records of myxomycetes from New Brunswick, Canada

2024· article· en· W4390870703 on OpenAlexaffvenueabout
Virginia Zoll, Amanda Bremner, Stephen R. Clayden, Kendra Driscoll, Alfredo Justo, Bruce Malloch, David Malloch

Bibliographic record

VenueThe Canadian Field-Naturalist · 2024
Typearticle
Languageen
FieldEngineering
TopicSlime Mold and Myxomycetes Research
Canadian institutionsWestern UniversityUniversity of New Brunswick
Fundersnot available
KeywordsBiodiversityAbundance (ecology)BiologyRare speciesEcologyGeographyHabitat

Abstract

fetched live from OpenAlex

Studies of the diversity of myxomycetes or plasmodial slime moulds (Amoebozoa) in New Brunswick are lagging behind those of many other groups of terrestrial organisms. Here, we summarize the myxomycetes of the province as documented by recently collected specimens held by the New Brunswick Museum (NBM). Between 2007 and 2019, 264 specimens were collected, representing 80 species in 29 genera. Most of these records result from targetted searching during NBM-led biodiversity surveys (the BiotaNB project) in provincial protected natural areas between 2014 and 2019 and a mycological foray on Campobello Island in 2016. Previously, only seven species had been reported for the province. Consistent with their worldwide distributions and abundance, Arcyria cinerea, Fuligo septica, Ceratiomyxa fruticulosa, and Lycogala epidendrum were the most collected species, whereas the globally rare species Paradiacheopsis microcarpa has been collected in New Brunswick six times. Forty-two species were found only once, and five of these (Comatricha mirabilis, Fuligo laevis, Hemitrichia chrysospora, Lepidoderma neoperforatum, Listerella paradoxa) are rare worldwide.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2024
Admission routes3
Has abstractyes

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