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Record W4387332686 · doi:10.1080/00318884.2023.2253694

Resolving the identity of <i>Jania crassa</i> (Corallinales, Rhodophyta)

2023· article· en· W4387332686 on OpenAlexaff
Wendy A. Nelson, Line Le Gall, Viviana Peña, Brenton A. Twist

Bibliographic record

VenuePhycologia · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsTula FoundationUniversity of British Columbia
Fundersnot available
KeywordsCrassaHerbariumBiologyEcologyNeurospora crassa

Abstract

fetched live from OpenAlex

DNA sequences obtained from the isolectotype of Jania crassa, collected from Dusky Sound, Fiordland, New Zealand, have revealed the identity of this poorly understood taxon, and enabled comparison with modern material. The name Jania crassa has been previously widely applied in New Zealand and Australia. Data presented here show that Jania crassa differs from other species within the New Zealand region: of the eight species of Jania currently recognized, three are dichotomously branched, and two of these are known from southern New Zealand. Jania crassa can be distinguished from the smaller and epiphytic species of Jania in southern New Zealand, J. sphaeroramosa, on the basis of size and growth habit. Jania crassa appears to be an infrequently collected, possibly endemic species of southern New Zealand, with only one recent collection confirmed. Further collections and sequence data are needed to better understand the distribution of this species, particularly in neighbouring regions.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score1.000

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)0.0010.001

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 head0.243
Teacher spread0.208 · 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 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

Citations3
Published2023
Admission routes1
Has abstractyes

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