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Record W2888777377 · doi:10.1139/cjb-2018-0042

A synopsis of <i>Chaenotheca</i> in North America, including a new species from southern Ontario, <i>C. selvae</i>, supported by morphometric analyses

2018· article· en· W2888777377 on OpenAlexaffvenueabout
R. Troy McMullin, Jose R. Maloles, Steven B. Selva, Steven G. Newmaster

Bibliographic record

VenueBotany · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsUniversity of GuelphCanadian Museum of Nature
Fundersnot available
KeywordsThallusBiologyLichenBotanyTaxonDetrended correspondence analysisTaxonomy (biology)EcologyHabitat

Abstract

fetched live from OpenAlex

We describe and illustrate a new species of calicioid lichen from southern Ontario, Chaenotheca selvae. We place it in Chaenotheca because of its lichenized thallus with a Stichococcus photobiont, a brown mazaedium, and ascospores that are brown, spherical, and single-celled (3.0–3.6 μm in diam.). It differs from other species of Chaenotheca by its photobiont, non-ornamented ascospores, straight stalks, and producing orange-brown pruina on the mazaedium, excipulum, and upper portion of the stalk when mature. Using a detrended correspondence analysis we identified 25 taxa, including the sp. nov., analyzing 22 morphological characters. Our results provide evidence of chemical and morphometric variation among species of Chaenotheca. We also provide a key for the identification of the 25 Chaenotheca species in North America.

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 score0.353
Threshold uncertainty score0.710

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.046
GPT teacher head0.248
Teacher spread0.202 · 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

Citations7
Published2018
Admission routes3
Has abstractyes

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