Nachweis von Shiga Toxin-bildenden Escherichia coli und thermophilen Campylobacter species bei Almkühen und in auf Almen produzierten Lebensmitteln
Bibliographic record
Abstract
In Germany thermophilic Campylobacter spp. and Enterohemorrhagic Escherichia coli (EHEC) are - apart from Salmonella spp. and Yersinia spp. - the most frequent bacterial sources of human gastroenteritis. Analyzing the development in other European countries as well as in the USA and Canada, one can presume, that in near future thermophilic Campylobacter spp. will be at the top of the national statistics of food poisoning. The objective of this study was a possible STEC or thermophilic Campylobacter spp. contamination of natural food produced on alpine pastures, as in Bavarian Alps the food production on alpine pastures is still of great importance. In additon to this aspect of consumer´s health protection, it was on the other hand the intention to collect knowledge concerning a possible change of STEC and thermophilic Campylobacter spp. excretion between winter and summer time.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".