Tapeworms (Cestoda: Proteocephalidea) of Fishes from the Amazon River in Peru
Bibliographic record
Abstract
This article provides the first data on the occurrence of adult proteocephalidean tapeworms (Cestoda) in freshwater fishes from the Peruvian part of the Amazon River. In total, 29 species of proteocephalidean cestodes of the genera Amphoteromorphus, Chambriella, Choanoscolex, Euzetiella, Houssayela, Mariauxiella, Monticellia, Nomimoscolex, Nupelia, Peltidocotyle, Proteocephalus, Rudolphiella, Scholzia, Sciadocephalus, Spatulifer, Travassiella, and Zygobothrium are reported from 10 species of pimelodid, heptapterid and doradid catfish and the cichlids Astronotus ocellatus and Cichla monoculus. All species are reported from western Amazonia and Peru for the first time, with 6 taxa representing new geographical records for the Amazon River basin. The most remarkable finding is that of Houssayela sudobim (Woodland, 1935) from Pseudoplatystoma fasciatus, reported for the first time since its original description. Four other taxa (Chambriella sp. and Proteocephalus sp. from Phractocephalus hemioliopterus, Nupelia sp. from Goeldiella eques, and Proteocephalus sp. from Pterodoras granulosus) may be new for science. A list of the species found is provided together with brief comments on their fish hosts and geographical distribution. In addition to adult tapeworms, larvae (metacestodes) of proteocephalideans were found encysted in the mesenteries, intestinal wall, and gills of small catfish.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".