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Record W2900654566

Diagnosis, prevalence, and prevention of the spread of the parasite Heterosporis sp. (Microsporida: Pleistophoridae) in yellow perch (Perca flavescens) and other freshwater fish in northern Minnesota, Wisconsin, and in Lake Ontario

2009· dissertation· en· W2900654566 on OpenAlexaboutno aff
Peggy Anderson Miller

Bibliographic record

VenueMinds at UW (University of Wisconsin) · 2009
Typedissertation
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsPerchFisheryParasite hostingFish <Actinopterygii>Freshwater fishBiologyZoologyGeography
DOInot available

Abstract

fetched live from OpenAlex

A previously unknown microsporidian parasite that severely degrades muscle of yellow perch (Perca flavescens) from lakes in Minnesota, Wisconsin, and Lake Ontario was identified as belonging to the genus Heterosporis. This parasite is characterized by pyriform-shaped spores that are contained in sporophorocysts. In the wild, yellow perch, burbot (Lota lota), mottled sculpin (Cottus bairdi), trout-perch (Percopsis omiscomaycus), pumpkinseed (Lepomis gibbosus), northern pike (Esox lucius), walleye (Sander vitreus) and rock bass (Ambloplites rupestris) harbor Heterosporis naturally, but laboratory studies showed that 12 other fish species are susceptible to infection. In laboratory trials, smallmouth bass (Micropterus dolomieui) consumed significantly more fathead minnows infected with Heterosporis sp. than uninfected. Microscopically, Heterosporis sp. infection can be detected in the muscle of fish two weeks after exposure, and visually identified after seven weeks. To confirm infection, a PCR diagnostic assay was developed. Heterosporis spores are rendered noninfective by freezing, desiccation for 24 h, exposure to 2,200 mg/L bleach, and aging in air-exposed water for six months. This parasite can infect a wide range of fish species which can lead to devastating losses in commercial and sport fishing; however, there are preventative measures that may limit the spread of 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 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 score0.958
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.007
GPT teacher head0.205
Teacher spread0.198 · 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

Citations6
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueMinds at UW (University of Wisconsin)Same topicParasitic Infections and DiagnosticsFrench-language works237,207