Interim Report of the ICES/IOC/IMO Working Group on Ballast and Other Ship Vectors (WGBOSV)
Bibliographic record
Abstract
The ICES/IOC/IMO Working Group on Ballast and Other Ship Vectors (WGBOSV) met at the NOAA Northeast Fisheries Science Center in Woods Hole, USA, on 15–17 March 2017, including a joint meeting on 15 March with the Working Group on Introductions and Transfers of Marine Organisms (WGITMO). The meeting was hosted by Judy Peder-son (USA) and chaired by Sarah Bailey (Canada). The meeting was attended by 21 scien-tists in person, 3 by web-conference, and 2 by correspondence, representing 10 countries; 5 additional scientists representing 3 additional countries attended on the joint meeting day. The objective of the meeting was to discuss and address the six terms of reference (ToRs) in order to co-ordinate and advance research activities that reduce the risk of transporting non-native species via shipping activities.This interim report provides a brief summary of progress achieved on all ToRs and the related workplan, with National Reports and Abstracts for all presentations appended as annexes. The approach taken at the meeting was for each country to provide an update on the status of shipping vector research in the form of a National Report, facilitating a thorough review of national activities to identify potential collaborations, advance re-search and address knowledge gaps (ToR a). Subsequently, individual ToRs were pro-gressed through contributed presentations and group discussion. WGBOSV considered two ToRs jointly with WGITMO, examining biofouling as vector for the introduction and transfer of aquatic organisms on small boats and large ships (ToR e) and examining the effect of climate change on the establishment of aquatic species in the Arctic (ToR d).
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.027 | 0.021 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.083 | 0.047 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".