Fraser Delta slope stability and Georgia Strait seafloor mapping: cruise 2006002PGC aboard the CCGS Vector, May, 2006
Bibliographic record
Abstract
Senior Scientist: Gwyn Lintern - PGC, Natural Resources Canada Cruise Number: 2006002PGC. April 24 - May 1, 2006. Ship: CCGS Vector Principal objectives of the cruise were to: 1. Characterize the seabed geotechnical properties of the Fraser River delta slope, 2. Test piezometer, optical and video instrumentation in preparation for installation of piezometer arrays under the VENUS project. 3. Obtain sub-bottom profiles, cores and grab samples in areas of interest to the Geoscience for Ocean Management of the Georgia Basin project. 4. Test the geotechnical characteristics of the seabed at locations specified as possible locations for VENUS node instrumentation. 5. Assess and improve the quality of ship-based metadata collection and management. The cruise involved collaboration with marine geologists (Housen, not on board, and Wiser) from the University of Western Washington. A consultant from Christian in situ was hired to deploy the Free-fall cone penetrometer, since this was a first-time deployment from a west coast vessel. We also had on board a metadata specialist (Neelands, GSC) to oversee, learn and advise on data methods. The piston core worked well under the direction of Murphy and with help from all available scientists. Several techniques were new to us, including deployment of the FFCPT, deployment of the splashcam video camera, deployment of a piezometer, deployment of a new optical instrument and completion of new/revised metadata forms. All items in the original cruise plan were successfully completed, except testing of the Optical Backscatter Sensor with Chorophyll Fluorometer. The only unresolved instrument issue was the inaccuracy of the lab GPS, which was not receiving DGPS, and was routinely placing our position up to 150m from actual position, and sporadically placing our position further away.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 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".