A RICKETTSIAL INFECTION IN CANADIAN VOLES BY JAMES A. BAKER, PH.D., Captain, Veterinary Corps, Army of the United States
Bibliographic record
Abstract
Early in the 19th century a quarantine station was established by the Canadian government on Crosse Isle in an effort to avert spread of any disease brought in by immigrants, and incoming vessels were required to stop there for medical inspection and removal of diseased passengers. This small island, slightly over a mile long and half a mile wide, is situated about 29 miles downstream from Quebec City in the tidal portion of the St. Lawrence River. At this point some 12 miles separate the northern and southern banks of the river. Although tremendous ice floes are formed during winters, there is never a solid bridge of ice between Grosse Isle and the mainland or neighboring islands because in this section of the St. Lawrence there are tides of 15 feet or more as well as an 8 mile current. Since a distance of at least 4 miles separates the island from the nearest shore, any communication requires the agency of man. The Canadian authorities therefore thought the water barrier provided effective quarantine for, other than birds, no definite connecting link was present although a possibility existed that wild mammals could escape to the mainland
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".