Bibliographic record
Abstract
** Raphidascaris sp. Sites: alimentary tract, liver, musculature Hosts: Acipenser fulvescens (26, 28); Coregonus artedi (14, 15, 17); Coregonus clupeaformis (3, 14, 16, 17, 20, 21, 23); Coregonus nasus (27); Esox lucius (2, 3, 5, 8, 12, 14, 19, 20, 21, 23); Morone chrysops (22); Perca flavescens (1, 3, 15, 20, 23); Pungitius pungitius (12); Salmo salar (6, 7, 9, 10, 11, 13, 18); Salvelinus fontinalis (16, 24, 25); Salvelinus namaycush (12, 16); Sander vitreus (3, 4) Distribution: Alberta, Hudson Bay Drainage, Labrador, Manitoba, New Brunswick, Northwest Territories, Ontario, Quebec, Saskatchewan Records: 1. Richardson 1937 (QC); 2. McLeod 1943 (MB); 3. McLeod 1944 (MB); 4. Stewart-Hay 1951b (MB); 5. Stewart-Hay 1953c (MB); 6. Pippy 1967 (LB); 7. Pippy 1969 (AT); 8. Threlfall & Hanek 1970b (LB); 9. Hare 1975 (NB); 10. Hare & Burt 1975a (NB); 11. Hare & Burt 1975b (NB); 12. Leong 1975 (AB); 13. Hare & Burt 1976 (NB); 14. Watson 1977 (MB); 15. Anthony 1978b (ON); 16. Chinniah & Threlfall 1978 (LB); 17. Watson & Dick 1979 (MB); 18. Pippy 1980 (NB); 19. Watson & Dick 1980 (MB); 20. Samuel 1981 (AB); 21. McAllister & Mudry 1983 (AB); 22. Anthony 1984 (ON); 23. Samuel 1985 (AB); 24. Frimeth 1987a (NB); 25. Frimeth 1987b (NB); 26. Choudhury et al. 1990 (MB); 27. Choudhury & Dick 1997 (NT); 28. Choudhury & Dick 1998 (HBD, MB)
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.013 |
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".