Detection of Vibrio parahaemolyticus in mediterranean mussels (Mytilus galloprovincialis) in Slovenia
Bibliographic record
Abstract
The aim of this study was to determine the prevalence of Vibrio parahaemolyticus in shellfish samples harvested along the Slovenian coast. Shellfish samples of Mediterranean mussels (Mytilus galloprovincialis) were collected along the Slovenian coast at four locations (Seča, Piran, Strunjan and Debeli Rtič) between 2006 and 2008. Samples were examined and analysed for the presence of V. parahaemolyticus by conventional and molecular methods. The presence of Vibrio in the samples was examined by conventional methods on plate grown bacterial cells before and after enrichment in alkaline saline peptone water (ASPW). PCR methods were used for the detection of V. parahaemolyticus-specific toxR and tlh genes and of the virulence-associated tdh and trh genes. Out of 168 samples examined, 24 were positive for toxR and tlh genes by PCR from enrichment broth. Five out of 62 (8.1%), 4 out of 32 (12.5%) and 15 out of 74 (20.2%) samples were positive in 2006, 2007 and 2008, respectively. Colonies of V. parahaemolyticus were isolated from only one sample positive for V. parahaemolyticus by PCR.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".