New records of chewing lice (Brueelia chayanh) species carried on the bird species of common myna (Acridotheres tristis) transported to Turkey by smuggling
Bibliographic record
Abstract
The present study was conducted to collect data on the lice species carried on common myna (Acridotheres tristis), which is a bird species that had no natural distribution in Turkey but was later included in the Turkish ornithofauna. Material and Methods: The bird carcasses were visually inspected and ectoparasite samples were randomly obtained from the back, abdomen, and underwing of each bird using a 4X lens, comb, fine forceps with good light source. The collected lice were placed in tubes containing 70% alcohol and were cleared in 10% KOH. After washing with distilled water, samples were passed through 70%, 80% and 90% alcohol series for three consecutive days, respectively, and were coated with Canadian balm. Lice were identified by light microscopy. Results: Of the 25 carcasses of common mynas inspected, 19 (76%) birds were found to be infested with lice, including 16 (84.2%) birds infested with both Menacanthus eurysternus and Brueelia chayanh and the remaining 3 (15.8%) birds infested with Brueelia chayanh only. The Menacanthus eurysternus lice were mostly collected from the dorsal region, while the Brueelia chayanh lice were mostly collected from the ventral region in the birds. Conclusion: To our knowledge, this is the first study to report Brueelia chayanh in common myna in Turkey.
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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".