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Inoculation Experiments to Understand Mass Mortalities in Sea Scallop, Placopecten magellanicus

2008· article· en· W2112909349 on OpenAlexaffabout
Sonia Belvin, Réjean Tremblay, Marcel Roussy, S. E. McGladdery

Bibliographic record

VenueJournal of Shellfish Research · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Bivalve and Aquaculture Studies
Canadian institutionsCentre Intégré de Santé et Services Sociaux de la GaspésieFisheries and Oceans CanadaUniversité du Québec à Rimouski
Fundersnot available
KeywordsScallopBiologyBayFisheryShoreAquacultureRuditapesInoculationZoologyEcologyFish <Actinopterygii>OceanographyImmunology

Abstract

fetched live from OpenAlex

In 1993, sea scallop, Placopecten magellanicus, populations from the Jacques Cartier Bay on the North Shore of the Gulf of St-Lawrence of Canada, experienced masse mortality episodes with mortality rates reaching 80%. Both natural beds and aquaculture stocks were affected. Experiments were undertaken to determine if an unknown or unidentified pathogen could be responsible for the disease and if that disease was transmissible. Three experiments, in which scallops were inoculated with homogenate extracted from moribund and healthy scallop tissue, were carried followed by histopathological analysis. The results demonstrated that the scallops from the Lower North Shore were more vulnerable to external factors such as manipulations and injections than the scallops from other regions, like Magdalen Islands and Gaspésie. The histopathological analysis did not permit to identify the causal pathogenic agent but our results suggested transmission of infection. The exact cause of the mass mortality episodes remains unknown to date, but it could be caused by a combination of multiple factors including geographic distribution and inbreeding.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.122
GPT teacher head0.372
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2008
Admission routes2
Has abstractyes

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