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Record W6980218940

Biology and histopathology of Proteocephalus ambloplitis Liedy, 1887, infecting walleye (Stizostedion vitreum vitreum) and yellow perch (Perea flavescens) in Lake of the Woods, Ontario / by Kimberly Blythe Armstrong. --

2017· other· en· W6980218940 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsStizostedionPerchFecundityPercidaeFish <Actinopterygii>Teleostei
DOInot available

Abstract

fetched live from OpenAlex

Walleye (Stizostedion vitreum vitreum ) and yellow&#13;\nperch (Perea flavescens ) from Lake of the Woods were&#13;\nexamined for parenteral Proteocephalus ambloplitis from&#13;\nMay to November, 1982 and 1983. One hundred percent of the&#13;\nage 1 and older walleye and 74% of the age 1 and older&#13;\nyellow perch harboured plerocercoids. In corresponding age&#13;\nclasses, walleye were generally 10 times more heavily&#13;\ninfected than yellow perch. Mean intensity of live&#13;\nplerocercoids increased with age of walleye until age class&#13;\n5 then declined significantly in older fish. Intensity increased from a mean of 23 (in age class 0) to a maximum of&#13;\n171 in age class 5 and was only 58 in the 7+ age class. Mean&#13;\nintensity of plerocercoids increased continuously with the&#13;\nage of yellow perch from 2 (age class 0) to a maximum of 20&#13;\nin the 5+ age class.&#13;\nAll age classes of walleye (0 to 7+) became infected by&#13;\npreying on yellow perch, particularly the young-of-the-year&#13;\n(YOY). Small yellow perch became infected by eating copepods&#13;\nbut older perch obtained plerocercoids by cannibalism. The&#13;\ntransmission of plerocercoids to walleye and yellow perch&#13;\nwas greatest during late summer. Young-of-the-year walleye&#13;\nand YOY yellow perch first harboured plerocercoids in early August.&#13;\nThe liver was the first organ of walleye and yellow&#13;\nperch to be invaded by migrating plerocercoids. However, in walleye, the mesenteries ultimately contained the greatest&#13;\nproportion of p1erocercoids in age 1 and older fish. The&#13;\nliver remained a relatively Important site for plerocercoids&#13;\nin all age classes of yellow perch. Relatively few&#13;\nplerocercoids were found in the gonads of walleye or yellow&#13;\nperch. Walleye fecundity was not correlated with&#13;\nplerocercoid intensity.&#13;\nNinespine sticklebacks ( Fungitius pungitius ) and&#13;\nlogperch (Percina caprodes ) were found to harbour P.&#13;\nambloplitis p1erocercoids . These are new host records.&#13;\nMigrating plerocercoids caused the greatest&#13;\npathological change in the liver of walleye and yellow&#13;\nperch. Zones of compressed and necrotic hepatocytes were&#13;\nevident adjacent to live, unencapsulated plierocercoids . The&#13;\nmesenteries of walleye were often fibrosed in response to&#13;\nlarge numbers of invading plerocercoids. The&#13;\ngastro-intestinal tract, posterior gonads and associated mesenteries were often compacted with fibrous tissue.&#13;\nObstruction of the passage of gametes is possible.&#13;\nConstriction of the oviduct may result from the fibrous&#13;\nreaction. Also, encapsulated plerocercoids were found in the&#13;\nlumen of the oviduct creating a physical barrier. The wall&#13;\nof capsules encompassing plerocercoids in walleye was&#13;\nrelatively thin (maximum of 90 microns) while in yellow&#13;\nperch, it was up to 290 microns thick.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.964
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.218
Teacher spread0.199 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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