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Record W7057440401

Interim Report of the Working Group on Introductions and Transfers of Marine Organisms (WGITMO). 13–15 March 2017, Woods Hole, USA

2017· article· en· W7057440401 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Archive of Ifremer (French Research Institute for Exploitation of the Sea) · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsInterimWorking groupThe arcticArcticTask groupMarine researchWildlifeBallast
DOInot available

Abstract

fetched live from OpenAlex

The 43rd meeting of the ICES Working Group on Introductions and Transfers of Marine Organisms (WGITMO) was held at the National Oceanic and Atmospheric Administra-tion (NOAA) Northeast Fisheries Sciences Center in Woods Hole, USA, on 13–15 March 2017. This meeting included a joint day with the Working Group on Ballast Water and Other Ship Vectors (WGBOSV). The meeting was hosted by Judy Pederson (USA) and chaired by Cynthia McKenzie (Canada). The meeting was attended by 23 scientists in person, two by web-conference and five by correspondence, representing 16 countries; four additional scientists attended on the joint meeting day. The objective of the meeting was to communicate new information and discuss several aspects of the introductions and transfers of marine organisms relevant to the six terms of reference for the working group. There was a particular focus on introductions into the Arctic environment, bio-fouling of vessels and structures, and developing indicators to evaluate impact of non-indigenous species in marine environments. This year’s interim report provides: a summary of the 16 National Reports (reports at-tached in Annex 4); the 20 presentations provided by members and chair invited mem-bers in support of term of reference objectives (abstracts provided in Annex 5); discussions, achievements, limitations and a recommendation. All Terms of Reference were discussed with this report structured so that each Term of Reference is dealt with in sequential order. The National Reports provide an overview of the priorities, findings, meetings and publications for each country. In addition, it provides discussion points for methodologies, collaborations and knowledge gaps that need to be addressed by the group (ToR a). The AquaNIS database continues to be updated and the data is now georeferenced. There were three additional presentations under this term of reference addressing monitoring methodology and an invasion risk assessment tool. WGITMO considered two ToRs jointly with WGBOSV: examining the effect of climate change on the establishment of aquatic species in the Arctic (ToR b); and examining bio-fouling as vector for the introduction and transfer of aquatic organisms on vessels and structures (ToR c). An update was provided on an ongoing initiative to address De-scriptor 2 of the EU-MSFD, in particular Indicator 2.2.1 regarding impact of Invasive Al-ien Species (IAS) on marine environments (ToR d). The final goal is to develop a new indicator of impact that can be proposed for the implementation within the Marine Strat-egy Framework Directive. Two ICES Cooperative Research Reports developed by WGITMO were recently released. One was an alien species alert report on the invasive tunicate Didemnum vexillum and the other summarized the status of non-indigenous ma-rine species in the North Atlantic and adjacent waters 2003–2007 (ToR a). An update was provided on communications regarding the Suez Canal enlargement and bioinvasion problems in the Mediterranean Sea. A theme session for the 2017 ICES ASC on bioinvasion trajectories and impacts in con-trasting marine environments was proposed by WGITMO as collaboration between IC-ES-PICES-CIESM. The proposal was accepted and will be jointly chaired by representatives of the three groups.\n

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)0.013
metaresearch head score (Gemma)0.012
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: Empirical · Consensus signal: none
Teacher disagreement score0.154
Threshold uncertainty score0.514

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.012
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0030.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1540.088

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 head0.083
GPT teacher head0.346
Teacher spread0.264 · 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
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
Published2017
Admission routes1
Has abstractyes

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