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Record W2327725538 · doi:10.2216/15-130.1

<i>Rhytimenia,</i>a new genus of red algae based on the rare<i>Kallymenia maculata</i>(Kallymeniaceae, Rhodophyta)

2016· article· en· W2327725538 on OpenAlexafffund
John M. Huisman, Gary W. Saunders, Line Le Gall, Alba Vergés

Bibliographic record

VenuePhycologia · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsUniversity of New Brunswick
FundersAustralian Biological Resources StudyNatural Sciences and Engineering Research Council of CanadaWoodsideNew Brunswick Innovation FoundationInstitut de Recherche pour le Développement
KeywordsBiologyBasionymThallusGenusBotanyMolecular phylogeneticsRed algaeAlgaePhylogeneticsGene

Abstract

fetched live from OpenAlex

:Morphological and molecular analyses of newly collected samples of the rare Kallymenia maculata, described originally from specimens collected during the Siboga Expedition but never recollected, indicated that the species was incorrectly placed in the genus Kallymenia and did not conform to any existing genera. The new genus Rhytimenia is described to accommodate this species, distinguished morphologically by its gelatinous, bullate thallus; angular (in surface view) outer cortical cells; wholly filamentous medulla lacking ganglionic or refractive cells; and monocarpogonial branch system with spherical subsidiary cells. The autonomy of Rhytimenia was supported by molecular analyses (COI-5P, nuclear ribosomal large subunit gene, rbcL) that resolved K. maculata as only distantly allied to other Kallymeniaceae and clearly incorrectly assigned to Kallymenia based on the position of the generitype Kallymenia reniformis. A second species, Rhytimenia cerebriformis (basionym Sebdenia cerebriformis), was included in the new genus based on molecular analyses and morphological similarities with Rhytimenia maculata but differing in the presence of multiple marginal cartilaginous holdfasts.

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 score0.361
Threshold uncertainty score0.990

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.001

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 head0.018
GPT teacher head0.198
Teacher spread0.180 · 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

Citations6
Published2016
Admission routes2
Has abstractyes

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