Chewing lice (Phthiraptera: Amblycera, Ischnocera) of some aquatic birds in Konya province, Turkey, new records for Turkish fauna
Bibliographic record
Abstract
This study was performed to detect chewing lice species existed on some aquatic birds in Konya province in Turkey between 2014-2016. For this aim, the birds which were brought to the clinics of Selçuk University, Faculty of Veterinary Medicine for treatment, and dead birds collected at Lake Çavuşçu were examined for louse. Louse specimens collected from the birds were preserved in eppendorf tubes containing ethyl alcohol 70%, made transparent in potassium hydroxide (KOH) 10% for 24 hours, rinsed in distilled water and transferred to alcohol 70% and 99% at consecutive days. They were mounted in Canada balsam on the slides for identification. Among studied 94 birds belonging to 12 species in eight genera in five orders, 84 of them (89.36%) were found to be infested with lice. Eighteen louse species belonging to 14 genera were detected in the study. The genus Aquanirmus (Clay and Meinertzhagen, 1939) and the species; Aquanirmuspodicepis (Denny, 1842), Pectinopygusbifasciatus (Piaget, 1880), Anaticolamergiserrati (De Geer, 1778), Pseudomenopondolium (Rudow, 1869), Laemobothrionatrum (Nitzsch, 1818), Rallicolaminutus (Nitzsch [in Giebel], 1866), Austromenopon transversum (Denny, 1842) were reported for the first time 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".