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Record W4409646930 · doi:10.1038/s41598-025-97608-w

Environmental conditions modulate hermaphroditic pathways in Salpa thompsoni near the Western Antarctic Peninsula

2025· article· en· W4409646930 on OpenAlexafffund
Evgeny A. Pakhomov, Svenja J. Müller, Bettina Meyer

Bibliographic record

VenueScientific Reports · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsFisheries and Oceans CanadaUniversity of British Columbia Hospital
FundersCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaDeutscher Akademischer AustauschdienstNatural Sciences and Engineering Research Council of CanadaCarl von Ossietzky Universität Oldenburg
KeywordsPeninsulaBiologyEcologyZoology

Abstract

fetched live from OpenAlex

Field observations during summer-fall of 2018 in the Antarctic Peninsula region provided the first morphological evidence that under certain environmental conditions, Salpa thompsoni blastozooid development can deviate from its traditional sequential protogynous hermaphroditism (SPH). Early male testis development at female blastozooid stages points to a wide-spread overlapping protogynous hermaphroditism (OPH) in regions where warm Antarctic Circumpolar Current waters mix with colder Antarctic Coastal waters. Our findings highlight the importance of the environmental setting in determining the reproductive pathway in S. thompsoni. OPH was observed in cooler and less productive waters, while SPH occured in both warmer and cooler productive waters. It appears that food availability may offset the effect of decreasing water temperatures for warm-water S. thompsoni reproductive development. It is plausible that OPH may permit the establishment of the S. thompsoni populations in the high Antarctic under the warming trend in the Southern Ocean by allowing for more efficient reproduction.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.215
Teacher spread0.207 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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