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Record W2153349198 · doi:10.1645/12-71.1

Timing of Appearance of<i>Gyrodactylus colemanensis</i>(Monogenea) on Young-of-the-Year<i>Salvelinus fontinalis</i>in a Nova Scotia Stream and Contribution of These Infections to Total Parasite Standing Crop

2013· article· en· W2153349198 on OpenAlexaffabout
Roland Leblanc, John L. MacMillan, David K. Cone

Bibliographic record

VenueJournal of Parasitology · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsSaint Mary's UniversityNova Scotia Department of Agriculture
Fundersnot available
KeywordsMonogeneaSalvelinusBiologyFontinalisTroutParasite hostingPopulationNova scotiaElectrofishingHost (biology)GyrodactylusEcologyZoologyFisheryDemographyFish <Actinopterygii>Abundance (ecology)

Abstract

fetched live from OpenAlex

Young-of-the-year (YOY) brook trout (Salvelinus fontinalis) were collected at 2 wk intervals (15 April to 4 June 2012) after emergence from redds and occurrence of the ectoparasite Gyrodactylus colemanensis (Monogenea) recorded. Emergent YOY were not infected. Infected trout (14%) first appeared 15 May, with host age estimated to be 4 wk or less post-emergence. Prevalence and intensity increased over the study period and reached, respectively, 93% and 8.2 ± 6.1 by 4 June. Prevalence and intensity of infection was also determined for older cohorts (1+, >1+) on 6 June, with G. colemanensis occurring on representatives of all age groups. The number of hosts in each age group was estimated by mark/recapture electrofishing over a 100 m reach of the stream. Combining estimated host numbers by age group with parasite prevalence and intensity data from those groups allowed calculation of parasite total standing crop. The results indicate that, by late spring, the new host recruits already carried 64% of the parasite population in the stream, serving to illustrate the remarkable efficiency of transmission by this viviparous monogenean in a temperate stream system.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.141
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.012
GPT teacher head0.317
Teacher spread0.305 · 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

Citations2
Published2013
Admission routes2
Has abstractyes

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