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Record W2128643409 · doi:10.1654/4442.1

Helminth Parasites of Golden Shiner Notemigonus crysoleucas (Pisces: Cyprinidae) from Ontario and Nova Scotia, Canada

2011· article· en· W2128643409 on OpenAlexaboutno aff
Jonathon J. H. Forest, David K. Cone

Bibliographic record

VenueComparative Parasitology · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsCyprinidaeNova scotiaSpecies richnessBiologyGeneralist and specialist speciesHelminthsRange (aeronautics)EcologyAcanthocephalaFisheryZoologyGeographyFish <Actinopterygii>HabitatArchaeology

Abstract

fetched live from OpenAlex

Helminth parasite communities of golden shiner Notemigonus crysoleucas (Pisces: Cyprinidae) were characterized in north central (Lake Opeongo, Ontario, Canada) and far eastern (Vinegar Lake, Nova Scotia, Canada) localities within its natural range. Membership included 9 generalists (Allocreadium lobatum, Clinostomum complanatum, Apophallus brevis, Pliovitellaria wisconsinensis, Proteocephalus sp., Rhabdochona cascadilla, Camallanus oxycephalus, an unidentified nematode, and Pomphorhynchus bulbocolli) and 6 specialists (Octomacrum microconfibula, Dactylogyrus parvicirrus, Gyrodactylus sp., Phyllodistomum sp., Paradilepis sp. A, and Paradilepis sp. B). Infracommunity richness was 2.6 ± 1.2 in Ontario and 1.0 ± 0.8 in Nova Scotia. Component community richness was 13 in Ontario and 6 in Nova Scotia. The two helminth communities were made up of similar proportions of generalists and specialists. We suggest that comparable studies on the helminth communities of golden shiner from similar lakes more central in this host's North American range could examine whether there is decay in richness particularly when approaching the periphery of a host's range. This is the first report of helminth parasites from N. crysoleucas in Nova Scotia.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.987

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)0.0140.001

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 head0.054
GPT teacher head0.323
Teacher spread0.269 · 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 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

Citations3
Published2011
Admission routes1
Has abstractyes

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