OTN VR2W Loan - Emera Snow Crab and American Lobster
Bibliographic record
Abstract
This is the OBIS extraction of the Ocean Tracking Network and Emera Inc. (Emera) OTN VR2W Loan - Emera Snow Crab and American Lobster, consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals. If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode=V2LEMERA). Abstract:The NSP Maritime Link Inc. (NSPML) [operating as Emera Newfoundland and Labrador (ENL)], a wholly owned subsidiary of Emera Newfoundland and Labrador Holdings Inc., is constructing a 500 megawatt (MW) [+/- 200 kilo volts (kV)] high voltage direct current (HVdc) and high voltage alternating current (HVac) transmission line, and associated infrastructure, between Granite Canal, Newfoundland and Labrador (NL), and Woodbine, Nova Scotia (NS) (the Maritime Link). The Project includes two 170 kilometer long subsea cables spanning the Cabot Strait from Point Aconi (NS) to Cape Ray (NL). As part of the Environmental Assessment (EA) for the Project, the potential environmental effects of the installation and operation of these cables were assessed and, with the implementation of the design and mitigation measures, determined to be not significant. Consistent with commitments and conditions of the EA release NSPML initiated an Environmental Effects Monitoring Program for two resident commercially harvested marine species, snow crab (Chionoecetes opilio) and American lobster (Homarus americanus), to confirm that once operational the subsea cables will not have an adverse impact on the movement of benthic species. The current study tracks the movements of snow crabs and American lobster in their natural habitat before and after the installation and energisation the submarine cables. This will allow for the characterization of the animals’ behaviour and the identification of any changes.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.063 | 0.069 |
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".