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Record W7135082061 · doi:10.5376/ijmec.2024.14.0024

Environmental Genomics of Gammarus: Responses to Habitat Changes

2024· article· W7135082061 on OpenAlexvenueno aff
Fangqi Xu

Bibliographic record

VenueInternational Journal of Molecular Ecology and Conservation · 2024
Typearticle
Language
FieldEnergy
TopicAlgal biology and biofuel production
Canadian institutionsnot available
Fundersnot available
KeywordsHabitat fragmentationHabitatGenomicsEnvironmental changeGenetic diversityHabitat destructionGammarusPopulationPopulation fragmentation

Abstract

fetched live from OpenAlex

This study analyzes the genomic adaptation mechanisms of Gammarus  species under environmental stress, focusing on the impacts of pollution, temperature fluctuations, salinity variations, hypoxia, and habitat fragmentation on their population genetic structure, transcriptome, and proteome. The findings indicate that Gammarus  species enhance their tolerance to pollution stress through genetic adaptation, epigenetic modifications, and changes in protein expression. Comparative genomics research reveals the coexistence of both convergent and divergent evolutionary strategies in Gammarus  species adapting to different habitats. This study highlights the application prospects of genomics in the conservation and ecological management of Gammarus  species and proposes conservation strategies based on genetic diversity maintenance and habitat restoration to mitigate the ongoing impacts of climate change and human activities on aquatic ecosystems.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.655

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.244
Teacher spread0.233 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2024
Admission routes1
Has abstractyes

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