Disease and mortality among Yesso scallops Patinopecten yessoensis putatively caused by infection with Francisella halioticida
Bibliographic record
Abstract
During the fall of 2015, up to 40% mortality occurred in juvenile Yesso scallops Patinopecten yessoensis at an aquaculture site in Baynes Sound, British Columbia, Canada. Macroscopic lesions were present in 11% of the scallops, and histopathology consisting of multifocal and diffuse haemocyte infiltration was observed in 44% of the specimens examined. Histologically, small Gram-negative intracellular bacteria-like particles were observed within necrotic haemocytes of the lesions, suggesting a bacterial aetiology. DNA was extracted from adductor muscle lesions of diseased scallops, and the 16s rDNA gene as well as the DNA-directed RNA polymerase beta subunit (rpoB) were amplified by PCR. Sequence analyses of the resulting 413 and 925 bp fragments were a 100% match to the reference sequence for Francisella halioticida, originally described as the cause of mortality in abalone from Japan. Isolation and culture of the bacteria was not possible at the time, as no further diseased specimens were available. Results from in situ hybridization assays as well as examination by transmission electron microscopy provide further evidence supporting the hypothesis that F. halioticida was the most probable causative agent of the lesions and mortality.
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 | 0.000 | 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".