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Record W2530636059 · doi:10.5539/jas.v8n11p81

Helminth Parasites of Lane Snapper, Lutjanus synagris from Santiaguillo Reef, Veracruz, Mexico

2016· article· en· W2530636059 on OpenAlexvenueno aff
Jesús Montoya‐Mendoza, Fabiola Lango‐Reynoso, Salvador Rojas-Castañeda

Bibliographic record

VenueJournal of Agricultural Science · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyReefSparidaeHelminthsPerciformesVeterinary medicineSpecies richnessAnimal scienceDiversity indexFisheryFish <Actinopterygii>EcologyZoology

Abstract

fetched live from OpenAlex

In 51 specimens of lane snapper, Lutjanus synagris, captured in Santiaguillo Reef, Veracruz Reef National Park System, State of Veracruz, in the Southern Gulf of Mexico, a total of 25 helminth species were recovered, as follows: 9 digeneans (8 adults, and 1 metacercaria), 7 monogeneans, 6 nematodes (4 adults, and 2 larvae), 2 cestodes (both larvae), and 1 acanthocephalan (juvenile). Out of the 25 species, 11 are new host records; 2 have prevalence > 50%, and mean intensity > 4.7; Haliotrematoides cornigerum (monogenean) had the highest prevalence, 94.11%, followed by Euryhaliotrema tubocirrus with prevalence of 66.67%. Richness (S = 25) and diversity (Shannon index H’ = 2.13) at component community, and endoparasites infracommunity level (S = 6.27 ± 2.5, Brillouin index H = 1.07 ± 0.42), and ectoparasites infracommunity level (S = 3.6875 ± 1.87, Brillouin index H = 0.74 ± 0.4), were similar to those found in other marine fish. Results suggests that the host feeding habits determine the endoparasites composition, while the ectoparasites composition is associated to the environmental conditions.

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 score0.104
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.279
Teacher spread0.270 · 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

Citations16
Published2016
Admission routes1
Has abstractyes

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