MétaCan
Menu
Back to cohort
Record W4384070756 · doi:10.1515/bot-2023-0005

Diversity of fungi from marine inundated wood from the Bay of Fundy, Nova Scotia, Canada

2023· article· en· W4384070756 on OpenAlexafffundabout
Sarah J. Adams, Allison K. Walker

Bibliographic record

VenueBotanica Marina · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsAcadia University
FundersGénome QuébecAcadia UniversityNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsBayNova scotiaGeographyDiversity (politics)EcologyNova (rocket)FisheryEnvironmental scienceOceanographyArchaeologyGeologyBiologyEngineering

Abstract

fetched live from OpenAlex

Marine fungi play an integral role in the decomposition of intertidal organic substrata but remain understudied in cold-water habitats including Atlantic Canada. Marine inundated wood from the intertidal zone was sampled from 30 sites along the Bay of Fundy coastline in Nova Scotia, Canada. Wood types studied included attached and loose intertidal wood, and driftwood. Emergent fungi were cultured and identified using ITS (internal transcribed spacers) rDNA barcoding. Two hundred and twenty cultures representing 86 fungi are reported. Sixty-one fungi were new records for the Bay of Fundy, 41 are first records from the marine environment, and 19 fungi are potentially new to science. Fungi identified included eight obligate marine fungi, with the remaining fungi being facultatively marine. Eight ascomycetes were soft rot fungi; this ecological strategy for decaying woody material in cold-water marine environments is discussed. Historical records and roles of wood type and site on fungal colonization are discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.227

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.202
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

Citations1
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueBotanica MarinaSame topicPlant Pathogens and Fungal DiseasesFrench-language works237,207