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Record W4414860140 · doi:10.1139/cjz-2024-0024

Shake it off: behavior of a freshwater snail during and after parasite exposure

2025· article· en· W4414860140 on OpenAlexvenueno aff
J. Trevor Vannatta, Jason T. Hoverman, Dennis J. Minchella

Bibliographic record

VenueCanadian Journal of Zoology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsSnailFreshwater snailParasite hostingGastropodaPredationFreshwater molluscForagingMollusca

Abstract

fetched live from OpenAlex

Snails serve as important intermediate hosts for a number of ecologically important trematode species. Despite this, few studies have considered how snails behave in the presence of parasites. Here, we use a common genus of host snail, Physa Draparnaud, 1801, and echinostome parasites to explore how snails respond to parasite exposure. To examine this relationship, we exposed 26 Physa snails to echinostome cercariae, a larval parasite that actively pursues and encysts within snails. The behavior of exposed snails was recorded and compared to the behavior of unexposed snails ( N = 26). Snails exposed to parasite cercariae displayed significantly more shell shaking, more surfacing, and less time foraging than unexposed snails. Snails were additionally monitored for behavioral changes several days after infection; however, no behavioral impacts persisted beyond the initial exposure period. These results suggest that shell shaking, commonly assumed to be an antipredator response, may be a general response to mechanical stimulation including parasite exposure. The combination of these behaviors is likely to have ecological ramifications including altered interactions with predators and changes in snail foraging.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.007
GPT teacher head0.263
Teacher spread0.256 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Zoology→Same topicParasite Biology and Host Interactions→French-language works237,207→