<i>Penicillium verrucosum</i> . [Descriptions of Fungi and Bacteria].
Bibliographic record
Abstract
Abstract A description is provided for Penicillium verrucosum . Information is included on the disease caused by the organism, its transmission, geographical distribution, and hosts. HOSTS: Widely distributed in foods and feedstuffs. It is common in cereals in Europe and Canada (MILLS, 1990), as well as meat products (ANDERSEN, 1995), cheese (LUND et al. , 1995), and Madeira cake (CABI BIOSCIENCE, 1999). DISEASES: In man it has been implicated in Balkan Endemic Nephropathy, a kidney disease with a high mortality rate in certain parts of Bulgaria, Romania and states in the former Yugoslavia (PAVLOVIC et al. , 1979). In animals it causes nephritis in Scandinavian pigs, a serious problem in animal health (RUTQVIST et al. , 1978). A case of osteomyelitis in a German shepherd dog implicated P. verrucosum as the causal agent (WIGNEY et al. , 1990). GEOGRAPHIC DISTRIBUTION: Mostly in temperate regions, particularly N Europe.
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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.033 |
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".