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Record W2074624374 · doi:10.1645/ge-289r

SPECIES COMPOSITION OF ASSEMBLAGES OF CERATOMYXA (MYXOZOA), PARASITES OF LINGS GENYPTERUS (OPHIDIIDAE) IN THE SOUTHEASTERN PACIFIC OCEAN: AN ECOMORPHOMETRIC APPROACH

2004· article· en· W2074624374 on OpenAlexaff
Mario George‐Nascimento, Víctor Lobos, Claudia Torrijos, R. A. Khan

Bibliographic record

VenueJournal of Parasitology · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyxozoan Parasites in Aquatic Species
Canadian institutionsMemorial University of Newfoundland
FundersFondo de Financiamiento de Centros de Investigación en Áreas Prioritarias
KeywordsMyxozoaBiologyMyxosporeaEcologyZoologySporeHabitatBotany

Abstract

fetched live from OpenAlex

Studies on Myxozoa have emphasized their potential impact on aquatic animal health but less on ecological aspects. In this investigation, we assess the importance of host and latitudinal variations in the morphometry of spores of Ceratomyxa Théohan, 1892 (Myxozoa) from the gall bladder of 3 ling Genypterus (Pisces; Ophidiidae) species. Discriminant analyses indicated that several morphospecies of Ceratomyxa coexist in these hosts, despite the fact that the specific level of taxonomic resolution of each spore was not attempted. At least 4 species, i.e., Ceratomyxa hokarari Meglitsch, 1960; Ceratomyxa inversa Meglitsch, 1960; Ceratomyxa laxa Meglitsch, 1960; and Ceratomyxa elongata Meglitsch, 1960 occur in the study area, and at least 2 species co-occur in each host and geographical location. The most widespread pattern found is that spores are larger in golden ling (Genypterus blacodes) and spore size decreases with increasing latitude; this may be associated with the species composition of these assemblages, as well as with the habitat and diet segregation of the host species.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.019
GPT teacher head0.293
Teacher spread0.274 · 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

Citations11
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueJournal of ParasitologySame topicMyxozoan Parasites in Aquatic SpeciesFrench-language works237,207