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Record W2990182925 · doi:10.1080/23802359.2019.1693300

Complete mitogenome of the streptophyte green alga <i>Coleochaete scutata</i> (Coleochaetophyceae)

2019· article· en· W2990182925 on OpenAlexaff
Monique Turmel, Christian Otis, Claude Lemieux

Bibliographic record

VenueMitochondrial DNA Part B · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Community Ecology and Physiology
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsBiologyIntronAlgaeBotanyEvolutionary biologyGeneGenetics

Abstract

fetched live from OpenAlex

We have sequenced the mitogenome of Coleochaete scutata strain SAG 110.80M. This mitogenome is the largest among the streptophyte green algae examined to date. At 242,024 bp, it is 4.3-fold larger than the mitogenome of Chaetosphaeridium globosum, the only other mitogenome available for the Coleochaetophyceae. This size difference is mainly explained by differences in the abundance of introns and in the length of intergenic regions containing vestiges of coding sequences thought to be of foreign origin. With 31 group I and 26 group II introns, the C. scutata mitogenome is the most intron-rich organelle genome known among streptophyte algae.

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)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.001

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 head0.010
GPT teacher head0.197
Teacher spread0.187 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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Same venueMitochondrial DNA Part BSame topicMicrobial Community Ecology and PhysiologyFrench-language works237,207