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Record W2398700040

Factors affecting prevalence and distribution of Bitter Crab Disease in Newfoundland and Labrador snow crab (Chionoecetes opilio) : an investigation toward formulating fishery management strategies

2010· dissertation· en· W2398700040 on OpenAlexaboutno aff
Darrell Mullowney

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2010
Typedissertation
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsFisherySnowGeographyResource (disambiguation)Fisheries managementDistribution (mathematics)BiologyFishing
DOInot available

Abstract

fetched live from OpenAlex

This report is submitted to partially satisfy the requirements for completion of the Master of Marine Studies in Fisheries Resource Management Programme at the Fisheries and Marine Institute of Memorial University of Newfoundland. As such, all statements and intellectual property contained herein are the responsibility of the author. -- The report focuses on Bitter Crab Disease (BCD) in Newfoundland and Labrador snow crab (Chionoecetes opilio). Specifically, it investigates potential factors affecting prevalence and distribution of the disease toward formulating effective fisheries management strategies to deal with it. The report entails a review of snow crab biology, an overview of the Newfoundland and Labrador snow crab fishery, a literature review of BCD, and original research investigating prevalence and patterns of BCD in snow crab in coastal bays along the northeast coast of Newfoundland.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
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
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.023
GPT teacher head0.254
Teacher spread0.230 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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