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Record W3026621972 · doi:10.1656/045.027.m1601

Macrolichens of Forillon National Park, Quebec, Canada

2020· article· en· W3026621972 on OpenAlexaffabout
Hayley A. Paquette, R. Troy McMullin

Bibliographic record

VenueNortheastern Naturalist · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsCanadian Museum of Nature
Fundersnot available
KeywordsLichenNational parkGeographySubspeciesTaxonBiotaArcticRange (aeronautics)ParmeliaceaeEcologyArchaeologyBiology

Abstract

fetched live from OpenAlex

In Canada, detailed knowledge of the macrolichen biota in national parks is surprisingly sparse. Forillon National Park (Forillon) in Quebec, Canada, is an example, with no previously published accounts of lichens. To fill this knowledge gap, we conducted a survey of the macrolichens in the park and reviewed past collections to establish a baseline list of species. We report 140 taxa from Forillon (139 species and 2 subspecies, in 39 genera). Notable species include: Melanohalea exasperata, a first record for Canada; Scytinium teretiusculum, a first record for Quebec; Parmelia fertilis, a northern range extension; Hypogymnia subobscura, a species with an Arctic affinity; and Bryoria salazinica, Cladonia labradorica, and Leptogium acadiense, which are endemic to northeastern North America and infrequently collected. We provide an annotated list of species and an identification key to the macrolichen species of Forillon.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score0.681

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 integrity0.0000.000
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 head0.019
GPT teacher head0.200
Teacher spread0.181 · 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.

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

Citations5
Published2020
Admission routes2
Has abstractyes

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