First detection of Francisella halioticida in mussels Mytilus spp. experiencing mortalities in France
Bibliographic record
Abstract
This note describes the first detection of the bacteria Francisella halioticida in mussels Mytilus spp. from locations in Normandy and northern Brittany (France) experiencing high mussel mortalities, while it was not detected in the Bay of St Brieuc (northern Brittany), an area which was not affected by abnormal mussel mortality. The distribution of the bacteria in mussels seems to be restricted to inflammatory granulomas as observed in Yesso scallops Mizuhopecten yessoensis from Canada and Japan. F. halioticida has been identified as being involved in mass (>80%) mortality of abalones Haliotis gigantea in Japan and high (up to 40%) mortality of Yesso scallops Mizuhopecten yessoensis in Canada as well as in lesions reducing marketability of Yesso scallops in Japan. The impact of this bacterium on the health of mussels needs to be investigated in future research, especially since the cause of high mussel mortalities that have been occurring in France for the past few years is still undetermined.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".