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Record W7027913986

Distribution of Greenland Halibut and By-catch Species that Overlap the 200-mile Limit Spatially and in Relation to Depth – Effect of Depth Restrictions in the Fishery. Distribution of the Fishable Biomass of the Main Commercial Species of Fish in Relation to Depth

2001· other· en· W7027913986 on OpenAlexaboutno aff

Bibliographic record

VenueDIGITAL.CSIC (Spanish National Research Council (CSIC)) · 2001
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHalibutPopulationCompendiumEscapementRange (aeronautics)Biomass (ecology)Distribution (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

It is thought that measures currently in operation in the NAFO Regulatory Area are not adequate for the protection\nof the juvenile fish. The largest fishery in the NRA and thus the one of greatest concern is that directing for\nGreenland halibut. As well, the need to reduce by-catch of any species in the Greenland halibut and other fisheries\nhas been noted. Because of the range of depths currently fished, the Greenland halibut fishery not only focuses on\nthe juvenile component of the population but also takes significant by-catch. This paper is a compendium of 12\npapers presented recently to Scientific Council. Information on the distribution of Greenland halibut including\ndistribution of undersized (below 35 cm, the Canadian minimum landing size) and mature and immature components of\nthe population based on both survey and commercial information is presented. The paper also elaborates on the\ndistribution of other commercial species that occur in the NRA, those that may be taken as by-catch in the directed\nGreenland halibut or other NRA fisheries, including those that overlap the Southeast Shoal.

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)0.010
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-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 score0.310
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.074
GPT teacher head0.296
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.

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

Citations0
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueDIGITAL.CSIC (Spanish National Research Council (CSIC))French-language works237,207