HELMINTH PARASITES OF ANISOTREMUS SCAPULARIS (TSCHUDI, 1846) (PERCIFORMES: HAEMULIDAE) "PERUVIAN GRUNT" ACQUIRED AT THE FISHING TERMINAL OF VILLA MARIA DEL TRIUNFO, LIMA, PERU
Bibliographic record
Abstract
Peruvian Grunt Anisotremus scapularis Tschudi, 1846 (Haemulidae) is a carnivorous marine benthopelagic fish species distributed between Ecuador and Chile. The aim of this study was to identify helminths parasitizing A. scapularis in the Peruvian coast. 20 specimens of A. scapularis were acquired between July and October 2013 from the Fishing Terminal of Villa Maria del Triunfo, Lima, Peru. Monogeneans and flukes were collected, fixed, preserved in 70% alcohol, colored with carmine Acetic of Semichon, Trichrome of Gomori and mounted in Canada balsam. Nematodes were fixed in hot 70% alcohol and made more transparent in a mixture of alcoholphenol. The following ten species of parasites were identified: Monogenea: Encotyllabe antofagastensis, Choricotyle scapularis, Neobivagina chita and Mexicana sp.; Trematoda: Lobatostoma anisotremun, Lasiotocus sp. and Proctoeces sp.; Acanthocephala: Profilicollis altmani and Gorgorhynchus sp.; Nematoda: Philometra sp. and Proleptus carvajali. The monogeneans C. scapularis and E. antofagastensis and the digenean Lasiotocus sp. and Proctoeces sp. represent new geographical records to the Peruvian helminthological fauna and A. scapularis is a new host record for Gorgorhynchus sp., Philometra sp. and P. carvajali in Peru.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".