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Record W2892168926 · doi:10.1093/plankt/fby038

Daphnia magna increase feeding activity in the presence of four amino acids

2018· article· en· W2892168926 on OpenAlexaff
Ebrahim Lari, Dylan Steinkey, Rylan Steinkey, Greg G. Pyle

Bibliographic record

VenueJournal of Plankton Research · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsDaphnia magnaDaphniaBiologyAmino acidZoologyEcologyGrazingBiochemistryCrustaceanChemistryToxicity

Abstract

fetched live from OpenAlex

Daphnia feeding studies have previously demonstrated increased grazing behaviour in response to the presence of food particles. However, it is not resolved whether these behavioural responses are due to chemosensation or another sensory modality as the particle size and electrical charge of algal cells could be confounding factors and may also play a role in finding food. This study has provided evidence on the role of chemosensation in grazing by exposing Daphnia magna to 20 L-isomer amino acids and monitoring changes in mandible rolling, a behaviour associated with feeding in Daphnia. This study has shown that D. magna increase feeding behaviour, i.e. mandible movements, when exposed to the L-isomers of the amino acids aspartate, cysteine, glutamate and glutamine. These results not only provide insight into Daphnia life history but also provide a tool for researchers to study Daphnia chemosensation.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.073
Threshold uncertainty score0.643

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.056
GPT teacher head0.330
Teacher spread0.275 · 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 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

Citations17
Published2018
Admission routes1
Has abstractyes

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