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Record W2187491280

Pacific-Atlantic halibut ageing workshop and otolith exchange

2012· article· en· W2187491280 on OpenAlexaboutno aff
Stephen Wischniowski, Joan E. Forsberg

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsHalibutOtolithFisheryHippoglossus hippoglossusGeographyFisheries managementAgency (philosophy)BusinessFish <Actinopterygii>FishingBiology
DOInot available

Abstract

fetched live from OpenAlex

In 2011, representatives from the age determination units of the International Pacific Halibut Commission, the Maine Department of Marine Resources, and the National Marine Fisheries Service Northeast Fisheries Science Center attended a Pacific-Atlantic halibut otolith exchange workshop in Boothbay Harbor, Maine. The main objective of this workshop was to discuss the methodologies for otolith sample preparation prior to an interagency otolith exchange to calibrate age estimates for both Pacific halibut ( Hippoglossus stenolepis) and Atlantic halibut (Hippoglossus hippoglossus). Background Commercially and ecologically important fish species are often managed by multiple agencies over the geographic range of the species, with each agency collecting otolith samples and producing age estimates for management of their particular stock. Such multi-agency management can lead to independent development of a variety of ageing techniques, even using different age structures, to produce age estimates among agencies. In an attempt to address interagency age assignment variability among northeast Pacific fish species, the Committee of Age Reading Experts (CARE) was formed. CARE is a cooperative effort between state and federal agencies from California, Oregon, Washington, British Columbia, and Alaska dedicated to standardizing and improving age determination techniques for species managed by multiple agencies. Activities of CARE include age structure exchanges and hands-on workshops. Hands-on workshops provide an ideal format for experienced age readers from different agencies to compare and demonstrate techniques for sample preparation and age determination. Age estimates can be compared among readers with immediate feedback; a microscope with two sets of eyepieces allows two readers to view an otolith at the same time. Alternatively, an otolith image can be displayed on a screen and increments pointed out to multiple viewers at once. Workshops are also a useful tool for experienced age readers to teach new readers how to prepare and interpret age structures. Several agencies on the east coast of Canada and the U.S. are involved in ageing Atlantic halibut (Hippoglossus hippoglossus), but many of the readers have limited experience reading halibut otoliths. Staff from the age determination unit of the Maine Department of Marine Resources (DMR) contacted staff from the International Pacific Halibut Commission (IPHC) for advice on techniques and equipment for ageing halibut. Staff at both facilities discussed the possibility of a workshop for IPHC staff to demonstrate ageing techniques. Atlantic halibut otoliths are similar to those of Pacific halibut ( Hippoglossus stenolepis) and age readers at the IPHC collectively read over 30,000 Pacific halibut otoliths each year. Following the philosophy of CARE, age determination staff from the IPHC, the Maine DMR, and the National Marine Fisheries Service Northeast Fisheries Science Center (NEFSC) met for an interagency otolith exchange workshop

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0280.008

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 head0.252
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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