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Record W4304756678 · doi:10.1093/jhered/esac057

A chromosome-level reference genome for the Versatile Fairy Shrimp,<i>Branchinecta lindahli</i>

2022· article· en· W4304756678 on OpenAlexaboutno aff
Shannon Rose Kieran Blair, Andrea Schreier, Merly Escalona, Amanda J. Finger, Shannon E K Joslin, Ruta Sahasrabudhe, Mohan P A Marimuthu, Oanh Nguyen, Noravit Chumchim, Emily Reister Morris, Hayley Mangelson, Joshua M. Hull

Bibliographic record

VenueJournal of Heredity · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
FundersBureau of ReclamationNational Institutes of HealthUniversity of California
KeywordsShrimpBiologyGenomeEndangered speciesEcologyEvolutionary biologyFisheryHabitatGeneticsGene

Abstract

fetched live from OpenAlex

We present the novel reference genome of the Versatile Fairy Shrimp, Branchinecta lindahli. The Versatile Fairy Shrimp is a freshwater anostracan crustacean found across the western United States from Iowa to Oregon and from Alberta to Baja California. It is an ephemeral pool specialist, living in prairie potholes, irrigation ditches, tire treads, vernal pools, and other temporary freshwater wetlands. Anostracan fairy shrimp are facing global declines with 3 species in California on the Endangered Species list. This species was included in the California Conservation Genomics Project to provide an easily accessible reference genome, and to provide whole-genome resources for a generalist species, which may lead to new insights into Anostracan resiliency in the face of climate change. The final gapped genome comprises 15 chromosome-length scaffolds covering 98.63% of the 384.8 Mb sequence length, and an additional 55 unscaffolded contigs.

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: none
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.003

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 head0.040
GPT teacher head0.249
Teacher spread0.209 · 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
Published2022
Admission routes1
Has abstractyes

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