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Record W6894188661 · doi:10.5524/100885

Genomic data for the montane vole (Microtus montanus)

2021· dataset· en· W6894188661 on OpenAlexaboutno aff

Bibliographic record

VenueGigaDB · 2021
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
FundersNational Science Foundation of Sri Lanka
KeywordsVoleSubspeciesGenomeMitochondrial DNAMontane ecologyRange (aeronautics)

Abstract

fetched live from OpenAlex

Voles of the genus <i>Microtus</i> are important research organisms, yet genomic resources in the genus are lacking. Providing such resources would benefit future studies of immunology, phylogeography, cryptic diversity, and more. We sequenced and assembled nuclear genomes from two subspecies of water vole (<i>Microtus richardsoni</i>) and from the montane vole (<i>Microtus montanus</i>). <br>The montane vole is native to the western United States and Canada. Fifteen subspecies of <i>Microtus montanus</i> can be found across a range of elevations and habitats, including grasslands, alpine meadows, near stream beds, and close to agricultural land. <br><i>Microtus montanus</i> sequencing produced over 100M reads and 13x coverage. Preliminary genome assembly resulted in ~13K scaffolds with an N50 of ~3.1Mb, 8.8% Ns, and a BUSCO score of 82.6%. In addition to the nuclear assembly, mitochondrial genome assembly was also performed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0060.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.009

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 head0.061
GPT teacher head0.303
Teacher spread0.242 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations1
Published2021
Admission routes1
Has abstractyes

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