Primeros registros de helmintos parásitos de Hemanthias signifer y Hemanthias peruanus (Teleostei: Serranidae) “doncella” procedentes de Puerto Pizarro, Tumbes.
Bibliographic record
Abstract
--- In the present study helminth parasites are described in Hemanthias signifer and H. peruanus, from Puerto Pizarro, Tumbes, Peru, and the prevalence and diversity of parasites in both fish. The ichthyological material was the Fishing Terminal of Villa Maria del Triunfo, sampling was carried out from October 2014 to February 2015. The specimens were collected in saline solution and then fixed; the monogeneos, trematodos and cestodos in alcohol to 70 %, for the coloring there was used Carmine of Semichon, Hematoxilina Delafield and Tricromica de Gomori and they were mounted by balsam of Canada. . The monogeneo Hemanthicotyle sanmarquensis n. g. n. sp was identified., , the trematodos Lecithochirium magnaporum and Gonocerca crassa and the post larva of cestodo Tentacularia coryphaenae, registering a new locality and host for all the studied parasites. As for the parasitic prevalency, H. signifer parasitized found in 75.75 % (25/33) and H. peruanus in 72.72 % (24/33) with at least 1 parasite. As regards the parasites diversity, 4 species were found: 1 monogeneo, 2 digeneos, 1 post cestodo larva; in H. signifer there isolated himself a whole of 93 specimens of Hemanthicotyle sanmarquensis n. g., n. sp., 12 of Lecithochirium magnaporum, 10 of Gonocerca crassa and 5 post Tentacularia coryphaenae larvae; in H. peruanus a whole of 34 specimens of Lecithochirium magnaporum, 25 of Gonocerca crassa and 2 of Tentacularia coryphaenae. Key words: Diclidophoridae, Hemanthicotyle sanmarquensis, helmintes, fish Serranidae, Perú.
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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".