PURIFICATION OF FIRST-STAGE LARVAE OF<i>ELAPHOSTRONGYLUS CERVI</i>(NEMATODA: PROTOSTRONGYLIDAE) FROM FECES
Bibliographic record
Abstract
Parasites are often found in a milieu that requires extensive preparation and labor-intensive cleaning before they are suitable for use in analytical procedures. Application of modern techniques in immunology and molecular biology demands pure yields of parasites. To purify first-stage (L1) larvae of Elaphostrongylus cervi, fecal suspensions from an infected red deer were processed by the Baermann method and embedded in a gel matrix with the objective of selectively trapping fecal debris. About half the number (50.9%) of embedded larvae migrated out of the gel within a 24-hr period and were collected as clean parasite suspensions, virtually free from fecal debris. The numbers of L1 emigrating from gels were inversely proportional to the fecal debris content and the thickness of the gel. Removal of fecal debris from Baermann fluid by sieving prior to gel embedment enhanced the yield of pure L1.
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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 | 0.000 | 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 | 0.001 |
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".