SERPENT of the Deep—Research, Monitoring and Partnerships for a Deepwater Well off Atlantic Canada
Bibliographic record
Abstract
Abstract The Great Barasway F-66 well – operated by Chevron Canada Limited (CCL) on behalf of itself and co-venturers ExxonMobil Canada Ltd., Imperial Oil Resource Ventures Ltd. and Shell Canada Limited – was the first Canadian participation in the international SERPENT Project. It was drilled in the Orphan Basin, a remote deepwater area located 390 km offshore of St. John's, Newfoundland and Labrador, Canada. SERPENT utilizes Remotely Operated Vehicles (ROVs), which support deepwater drilling operations, to collect scientific data which would be prohibitively expensive or impractical for universities or research institutions to collect. The project was a cooperative effort between CCL, ExxonMobil Canada Ltd., Imperial Oil Resource Ventures Ltd., Shell Canada Limited, and Memorial University of Newfoundland (MUN), the University of Southampton, the Canadian Department of Fisheries and Oceans and the Canada-Newfoundland and Labrador Offshore Petroleum Board. This has been an open and transparent relationship whereby all parties were involved in the study design, and data collected was freely shared. Initial results have included 1,000 world class digital photographs and over 25 hours of video of the organisms that live in water depths of 2,338 m. Initial results have been scientifically exciting; expanding the range of two species of fish, there is also the prospect that a new species of deepwater organism could be discovered once the data are fully analyzed. The extent of the settlement of cuttings and drilling muds was also mapped and compared to predictions made in the environmental assessment. Experiments were also conducted to evaluate the potential settlement of deepwater corals and other organisms on different types of hard substrate.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".