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Record W2617563596 · doi:10.1139/cjb-2017-0010

A contaminant DNA barcode sequence reveals a new red algal order, Corynodactylales (Nemaliophycidae, Florideophyceae)

2017· article· en· W2617563596 on OpenAlexaffvenue
Gary W. Saunders, Katelyn L. Wadland, Eric D. Salomaki, Christopher E. Lane

Bibliographic record

VenueBotany · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsBiologyDNA barcodingPhylogenetic treeBotanyAlgaeBarcodeEpiphyteFaunaRed algaePhylogeneticsEcologyGeneGenetics

Abstract

fetched live from OpenAlex

Routine DNA barcode surveys of red algae can occasionally yield contaminant sequences owing to the diverse epi/endo flora and fauna that can inhabit these species. Often discarded as nuisance data, further exploration in this study led to the discovery of an unusual red alga with a highly characteristic vegetative development in which the diminutive primary vegetative filaments are terminated by distinctive monosporangia. This entity is described here as Corynodactylus rejiciendus G.W. Saunders gen. et sp. nov. Generating genomic data from the host and associated epiphytic flora, and subsequently subtracting out genes of the former, facilitated a multigene phylogenetic analysis supporting recognition of Corynodactylaceae fam. nov. and Corynodactylales ord. nov. as a distant sister to the order Balliales in the subclass Nemaliophycidae.

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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.031
GPT teacher head0.246
Teacher spread0.214 · 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

Citations6
Published2017
Admission routes2
Has abstractyes

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