Bibliographic record
Abstract
There are seven known serotypes of botulism, designated A through G; almost all human cases of botulism are caused by types A, B, and E. Botulism type E is the predominant serotype causing disease associated with native Arctic foods. In the circumpolar regions of the world, the coastal soils are rich in botulism type E, and consumption of fish and marine animals in these areas are the sources of clusters of botulism. Unlike spores of type A and B, botulism type E can withstand freezing down to 3.5°C. Alaskan native fermentation of fish heads, fish eggs, and beaver tail allow proper anaerobic conditions for botulinum toxin to be elaborated from Clostridium botulinum. The consumption of whale meat, "muktuk" has also been associated with outbreaks of botulism in Alaska and the Canadian Arctic. Elsewhere in the Arctic regions, type E botulism has been associated with Norwegian "rakfisk" prepared by a process similar to fermented Alaskan foods. Outbreaks in Egypt with the salted gray mullet "faseikh", in Israel and New York linked to salted uneviscerated whitefish "kapchunka", in Iran from eating "ashbal" an uncooked salmon, and in Japan with "izushi" a traditional fermented fish preserved in rice have occurred. Importation of vacuum-packed whitefish from Alaska and Canada has also been associated with sporadic cases of botulism type E in Europe. In March 2010, the Center for Disease Control and Prevention released the heptavalent antitoxin (H-BAT) for use in the USA, under an Investigational New Drug program, as the preferred treatment for food-borne botulism, including type E, which had not been covered by the bivalent antitoxin, the prior approved antitoxin product in the USA.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.007 |
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".