MétaCan
Menu
Back to cohort
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 OpenAlex
Monique Turmel, Christian Otis, Claude Lemieux

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.880
Threshold uncertainty score0.998

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.003

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