Bibliographic record
Abstract
This study was carried out to determine chewing lice species of waders between September-October 2009 at Lake Kuyucuk Bird Ringing Station in Kars, eastern Turkey. Fourty-one birds belonging to two families (Scolopacidae and Sternidae), five genera and the following species were examined: Chlidonias leucopterus, Gallinago gallinago, Tringa glareola, Calidris minuta, Calidris alpina, Calidris temminckii, and Philomachus pugnax. Birds were caught in mistnets, ringed, examined for ectoparasites and released unharmed. To sample chewing lice, the feathers of each bird were carefully rubbed with a synthetic pyrethroid insecticide dust, over a white piece of paper. Thereafter, birds were placed in a breathable paper bag for 5 min. All lice were collected and placed in tubes with 70 % alcohol. Lice specimens were cleared in 10 % KOH, mounted in Canada balsam and identified under binoculer light microscope. Thirty-six out of 41 birds examined (88%) were infested with at least one chewing louse species. All individuals of Chlidonias leucopterus, Calidris minuta, C. alpina, C. temminckii and Philomachus pugnax were infested, whereas 4 out
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.231 | 0.116 |
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".