Port St Johns Conductivity Temperature Depth (CTD) and Bathymetry Survey on Algoa Voyage 198, May 2013
Bibliographic record
Abstract
The Port St Johns Conductivity, Temperature, Depth (CTD) and Bathymetry Survey was conducted on the Algoa Voyage 198, 8 May - 13 May, 2013. This cruise has two scientific objectives: (1) to investigate the dynamics of the Port St. Johns eddy and biological implications and (2) to investigate the existence of mesoscale eddies in the Agulhas Current. In the case of the former, Oceans and Coasts was asked to provide input to the recent spate of shark attacks off Port St. Johns. Very little is known about the oceanography except that Roberts et al (2010) discovered during a cruise a lee-trapped cyclonic eddy off Port St. Johns that caused substantial slope upwelling. The cold upwelled water is nutrient-rich and appears to provide a biological pump to the local ecosystem. This cruise will deploy an ADCP in a depth of approximately 80 m to determine the frequency of appearance of this eddy coupled with Conductivity, Temperature, Depth (CTD) lines to measure the biological implications. In the case of the second objective - offshore mesoscale eddies interact strongly with the Agulhas Current, and have been shown to initiate the Natal Pulse, cause early retroreflections, and influence slope upwelling at Port Alfred. They also act as vectors carrying biological material to areas along their trajectory and therefore play a role in shaping biodiversity patterns. A recent study however using altimetry and VSP drifters indicates that mesoscale eddies from both Madagascar and the Mozambique Channel tend to move down the Agulhas Current on its offshore boundary, but that these eddies dissapate southwest of East London. On this cruise we investigated whether mesoscale eddies exist in the lower region of the Agulhas Current using in situ measurements. The results may have a profound impact on local altimetry processing and our understanding of the regional oceanography.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".