Report on Cruise 2023004PGC (CCGS Vector): B.C. coastal hydrographic and geoscientific surveys - operations off Haida Gwaii and Vancouver Island
Bibliographic record
Abstract
A survey cruise was collaboratively conducted by the Canadian Hydrographic Service and the Geological Survey of Canada aboard the CCGS Vector in the summer of 2023. The aim was to collect multibeam data, sub-bottom profile data, and grab samples for mapping bathymetry and surficial geology-one of the objectives of Marine Geoscience for Marine Spatial Planning Program. This expedition totally covered approximately 1770 km² of multibeam survey, navigated 10,576 km of sub-bottom profile lines, and collected 40 grab samples. The survey regions included Swiftsure Bank, Amphitrite Bank, Cartwright Sound, Hippa Island, Rennell Sound, Portland Canal, Portland Inlet, Bute Inlet, the Strait of Georgia, and Juan de Fuca Strait. Each area exhibited unique features, with various seafloor morphologic units such as gravel platforms, landslides, deep channels, fan deltas, moraines, and bedforms.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.040 | 0.019 |
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".