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Record W3175089690 · doi:10.1093/jcbiol/ruab024

Ecology and epidemiology of the striped shrimp, <i>Pandalus montagui</i> Leach, 1814 (Decapoda: Caridea), in the northern Labrador Sea, Davis Strait, and Ungava Bay, Canada

2021· article· en· W3175089690 on OpenAlexaffabout
Krista D. Baker, David A. Fifield, Darrell Mullowney, Katherine Skanes

Bibliographic record

VenueJournal of Crustacean Biology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsEnvironment and Climate Change CanadaFisheries and Oceans Canada
Fundersnot available
KeywordsShrimpBayBiologyEcologyHabitatCarideaFisheryDecapodaOceanographyCrustacean

Abstract

fetched live from OpenAlex

Abstract Despite a fishery with annual landings valued at over $50 million CAD, very little knowledge has been gathered about the ecology of the striped shrimp (Pandalus montagui Leach 1814) in the Canadian northwestern Atlantic. This information is nevertheless considered essential for developing appropriate management actions for the fishery. We used survey data collected from 2005 to 2020 in the northern Labrador Sea, Ungava Bay, and Davis Strait to examine sizes, stages of maturity, size of transition, and evidence of parasites in the striped shrimp. We also investigated potential ecological drivers affecting the presence of parasites and size of transition. We found shrimp were substantially larger than previously observed in nearby habitats. The size of transition did not remain constant throughout the time series, and instead, was a function of the average size of females and the amount of preferred habitat in the previous year. The probabilities of individuals exhibiting black gill or black shell disease, or being infected with a bopyrid parasite were generally related to sex, depth, temperature, salinity, latitude, and shrimp density. The large sizes observed in the study area and the apparent plasticity of the population to environmental changes indicate that this species should be closely monitored in the future in relation to exploitation pressure and climate change.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.234
Teacher spread0.222 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2021
Admission routes2
Has abstractyes

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