Struthiolipeurus rheae Harrison, 1916 (Phthiraptera: Philopteridae) infestando avestruzes (Struthio camelus) em uma criaÇão no Município de Três Rios, RJ
Bibliographic record
Abstract
In Brazil ostriches farming began at the end of 20th Century, to supply the international market of meat, feathers and leather. Feathers are economically important to industry and artisanal sectors. Lice can cause intense pruritus that depending on the intensity of infestation can lead to depreciation of feathers. In Rio de Janeiro there are unknown species of lice infesting ostriches. Thus the objective of this study was to identify the lice that happen in birds from commercial farms in the Municipality of Três Rios. From 2003 to 2006 ostriches were monthly examined for the presence of ectoparasites. When infestations were detected some feathers were removed, placed into plastic bags and sent to the laboratory for further analysis. After removed from feathers, ectoparasites were examined using a stereoscope, followed by clarification in 10% potassium hydroxide and dehydrated in ethanol. Permanent slides were mounted in natural Canada balsam for observation in optical microscope. Based on observed characteristics, it was possible to determine that collected specimens belong to the species Struthiolipeurus rheae.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".