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Record W2097205257 · doi:10.2980/17-1-3276

The energetic cost of parasitism in isopods

2010· article· en· W2097205257 on OpenAlexvenueno aff
Stacey E. Lettini, Michael V. K. Sukhdeo

Bibliographic record

VenueEcoscience · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsParasitismBiologyIsopodaParasite hostingPopulationHost (biology)Biomass (ecology)EcologyReproductionZoologyDetritusCrustacean

Abstract

fetched live from OpenAlex

Assessment of the energetic costs of parasitism is central to understanding the role of parasites in their hosts' foodwebs, but few studies have directly measured these costs. This study demonstrates that infection with the acanthocephalan parasite Acanthocephalus tehlequahensis causes a significant and direct energetic cost to its freshwater isopod intermediate host Ceacidotea communis at both individual and population levels. Bomb calorimetry was used to measure energy (kj·m−2.y−1) allocated to host growth, reproduction, and respiration in infected and uninfected isopods and to parasite tissue in infected isopods. Infected isopod individuals allocated ~21% of their net production energy to parasite growth, and they were larger (length), consumed more leaf detritus, and lost significantly more energy to respiration than uninfected controls (P ≤ 0.05). They also allocated proportionally less energy to tissue growth, allocated zero energy to reproduction, and were less efficient at converting energy into isopod biomass when compared to uninfected controls (P ≤ 0.05). In the field, isopod populations were surveyed monthly for a year. The parasite had a mean infection prevalence in the stream of 30.19% ± 8.31 SE with a mean intensity of 1.12 ± 0.39 SE parasites/host in the population, and based on this infection rate, it is estimated that ∼6.7% of total production energy of the isopod population (infected and uninfected) is diverted towards the parasite.

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)0.001
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.007
GPT teacher head0.314
Teacher spread0.307 · 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

Citations38
Published2010
Admission routes1
Has abstractyes

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