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Record W2907674212 · doi:10.1093/plankt/fby051

Utility of salps as a baseline proxy for food web studies

2018· article· en· W2907674212 on OpenAlexaff
Evgeny A. Pakhomov, Natasha Henschke, Brian P. V. Hunt, Gabriele Stowasser, Yves Cherel

Bibliographic record

VenueJournal of Plankton Research · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsTula FoundationUniversity of British ColumbiaFisheries and Oceans Canada
FundersNatural Environment Research CouncilSight Research UKJohns Hopkins University
KeywordsPelagic zoneFood webTrophic levelBiologyIsotope analysisEcologyProxy (statistics)Microbial food webMicrobial loopComputer science

Abstract

fetched live from OpenAlex

In recent years, pelagic tunicates (mostly salps, but potentially doliolids, appendicularians and pyrosomes as well) have been used in isotopic studies as a baseline consumer (trophic position 2) when recreating food web dynamics to overcome the challenges of using particulate organic matter (POM). While pelagic tunicates are continuous filter feeders, recent evidence has shown that they have selective feeding behaviors, and preferentially assimilate certain particles. In this review, we combine available stable isotope data for POM and pelagic tunicates and identify that trophic enrichment in 13C and 15N relative to POM is highly variable, and suggests tunicates prefer to consume smaller, heterotrophic organisms. Here we propose that it is not appropriate to consider pelagic tunicates as representative first level consumers in the classical pelagic food web in stable isotope analyses. Rather it needs acknowledgment that they are members of the microbial food web, and thus reflect an alternate food chain.

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)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.111
GPT teacher head0.426
Teacher spread0.315 · 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
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

Citations30
Published2018
Admission routes1
Has abstractyes

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