Ectoparasites of blue swimming crabs (Portunus pelagicus) from Demak and East Lampung, Java Sea Indonesia
Bibliographic record
Abstract
Abstract Ectoparasites that infest Portunus pelagicus can have negative impacts on host health. This study aims to determine the infection patterns of ectoparasites of P. pelagicus, such as prevalences, intensities, and (mean) abundances in relation to its pathogenic impacts. A total of 93 crabs were sampled from fishermen in Demak and East Lampung from October 2019 to January 2020. Seven ectoparasite species, Chelonibia testudinaria (Crustacea), Dianajonesia tridens (Crustacea), Octolasmis angulata, O. lowei, O. warwicki (Crustacea), Ostrea puelchana (Mollusca) and Thompsonia sp. (Crustacea) were isolated. In Demak the ectoparasite with the highest prevalence was O. angulata of 81% with an intensity of 315. In East Lampung, C. testudinaria had the highest prevalence of 88% but with low intensity of 62. Both parasite species can have health impacts on their host, such as enhanced vulnerability to predators for C. testudinaria or reduced oxygen uptake for O. angulata. A total of 20,540 specimens of Thompsonia sp. were found within the East Lampung samples. This species can have a negative effect on their host’s reproduction system. In the future, this knowledge will support enhanced sustainable use of this commercially important crab species and will increase our understanding of health impacts of ectoparasites on P. pelagicus.
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 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".