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Record W7071246447

Report of the Working Group on the Application of Genetics in Fisheries and Mariculture [Halifax, Canada, 18- 20 March, 2002]

2002· report· en· W7071246447 on OpenAlexaboutno aff

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2002
Typereport
Languageen
FieldComputer Science
TopicQR Code Applications and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsMaricultureGroup (periodic table)Fish <Actinopterygii>Work (physics)Aquatic animal
DOInot available

Abstract

fetched live from OpenAlex

WGAGFM Report VI a)We have kept this recommendation, but have added a sentence stressing that all ICES Member Countries should consider risk assessment protocols. VI b)We list here the basic points that any risk assessment should address (as described in, e.g., Hallerman and Kapuscinski, 1995). VI c)We give the recommendation that, if possible, field trials should be undertaken in order to assess a number of points that cannot be immediately assessed by considering the phenotype of the GMO, e.g., behaviour of GMOs relative to non-GMOs, the fitness of GMOs, wild conspecifics and their offspring at various life stages, etc. (this recommendation is taken from the 1997 WGAGFM report).The importance of this recommendation is further stressed by the recent publications by Muir and Howard (1999, 2001) and Hedrick (2001).VII a) This is an important recommendation that we kept from the 1994 "Code of Practice".However, we also find it important to stress that the production of sterile individuals requires non-sterile parents, that many currently used sterilization techniques are not 100 % efficient, and that massive releases of sterile organisms may nevertheless have, at least, a short-term negative ecological impact on wild conspecifics and the ecosystem as a whole (also recommendations from the 1997 WGAGFM report). VII b)We added this point to stress the importance of monitoring the effects of GMOs after they have been released, i.e., even despite a positive outcome of risk assessment, follow-up monitoring is required.This is due to the fact that negative effects may not be immediately apparent but could occur and accumulate over time (e.g., biological invasions after the GMOs have become established). Definitions.We have found it important to clarify the definition of GMO used by ICES and make sure that the definition is equivalent to other definitions of GMO, for instance, as applied by the EU.We find it important to use a definition of "transgenic" that includes organisms manipulated by genes from their own genome, e.g., salmon, where a number of its growth hormone genes have been isolated and again inserted in its genome.Chromosome manipulated organisms are now clearly not included in this definition.Specific recommendations concerning polyploids were presented in the 1999 WGAGFM report.We also propose a definition of release to be added to the definition list of the ICES Code of Practice.

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)0.007
metaresearch head score (Gemma)0.006
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 score0.278
Threshold uncertainty score0.559

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0040.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0420.018

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 head0.052
GPT teacher head0.251
Teacher spread0.199 · 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
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueDuo Research Archive (University of Oslo)Same topicQR Code Applications and TechnologiesFrench-language works237,207