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Record W7005651747

Report of the ICES Working Group on Introductions and Transfers of Marine Organisms (WGITMO). 19-21 March 2014 Palanga, Lithuania

2014· article· en· W7005651747 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Archive of Ifremer (French Research Institute for Exploitation of the Sea) · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsWorking groupRelevance (law)AlienGovernment (linguistics)ArcticThe arcticHost (biology)
DOInot available

Abstract

fetched live from OpenAlex

The 2014 meeting of the ICES Working Group on Introductions and Transfers of Ma-rine Organisms (WGITMO) was held in Palanga, Lithuania during 19-21. March with Sergej Olenin as host and Henn Ojaveer as chair. The meeting was attended by partic-ipants from 22 countries. The physical participants were from Belgium, Canada, Denmark, Estonia, Finland, France, Greece, Germany, Ireland, Italy, Lithuania, the Netherlands, Norway, Portugal, Russia, Sweden, Ukraine and United Kingdom while United States participated over Skype and Croatia, Israel, Poland and Spain contrib-uted by correspondence. The meeting was also attended by the EU and CIESM repre-sentative. It was the 40th meeting of this expert group.\nThe objectives of the meeting were to update information and discuss several aspects related to the introduction of alien species. The meeting dealt in more details with the ‘Information system on aquatic non-indigenous and cryptogenic species’ (AquaNIS) and whether/how to use this platform to further reporting to WGITMO purposes, fouling of artificial structures by alien species, how to better address emerging ICES strategic topics (climate impacts, Arctic research) and cooperation with CIESM and PICES. Importantly, the group also dedicated time for addressing the MSFD D2 is-sues and finalized the species alert report on Ensis directus. As usual, sufficient time was devoted to presentations of national reports and exchange of knowledge and information (e.g. with the Mediterranean Sea and the Ponto-Caspian region).\nThe approach taken during the meeting facilitated presentations and discussions on the issues of relevance related to the Terms of References, but also a few generic and strategically important issues relevant to bioinvasions in general. The meeting started as a full-day joint meeting with the Working Group on Ballast and Other Ship Vec-tors (WGBOSV) during which issues of common interest were addressed. For the next meeting, the joint meeting is also planned to last one full day.\nFor some Terms of Reference a more detailed presentation was given during the meeting and a short overview of the information and subsequent discussion is pro-vided in the report at the end of each section. The report is structured so that each Term of Reference is dealt with in sequential order. The main body of the report con-tains summaries of the presentations and discussions with the more detailed docu-ments being contained in the Annexes.\nThe group progressed in each of the Term of Reference by either completing the task or clearly identifying and agreeing on the intersessional activities required to finalize the work. Intersessional work is inherently an integral component of future work for WGITMO. To share the workload, several group members were asked to lead some specific tasks.\nWGITMO suggests AquaNIS to substitute the present data-reporting format (xls file) and to be used beginning 2015 as an online reporting platform for new species inva-sions and secondary spread of already existing invasions in ICES countries and else-where (e.g. CIESM and PICES regions).

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.770

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.308
Teacher spread0.279 · 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 designBench or experimental
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
Published2014
Admission routes1
Has abstractyes

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