SNOMS Swire NOCS Ocean Monitoring System: Diary of the system development and installation on the MV Pacific Celebes in 2006 and 2007
Bibliographic record
Abstract
The SNOMS project brings together the resources of the United Kingdom’s National \nOceanographic Centre, Southampton (one of the world’s leading centres for marine \nresearch) and The Swire Group (a major multinational corporation) to make a \nsignificant contribution towards improving our understanding of the role of the oceans \nin controlling concentration of carbon dioxide in the atmosphere and hence the worlds \nclimate. \nThe Swire Group Charitable Trust funded the design, assembly and installation of a \nscientific data collection system on their ship the MV Pacific Celebes. The system is \nnow providing data from areas where no or little data exists particularly in the Indian \nOcean, Red Sea and Mediterranean. It links with and connects on-going observations in \nthe Atlantic. Data from the system supports projects both at NOC and elsewhere \nincluding the IOCPP (International Ocean Carbon Coordination Project). \nThis report provides an illustrated diary of the progress of the project between signing \nof the contract between the Swire Group and NOC in March 2006 and the installation of \nthe working system on the MV Pacific Celebes in June 2007. \nA new type of system for monitoring the partial pressure of CO2 at the sea surface had \nto be developed which could run autonomously of NOC with only periodic servicing by \nthe ship’s crew. This was done by designing a simple tank system to contain \ntemperature, conductivity and dissolved oxygen sensors built by Aanderaa and the new \nCO2 device the “ProCO2” developed by ProOceanus in Canada. This would be used \nwith the ProOceanus total gas Pressure device the GTD. \nThe system was assembled and tested at NOC before its first sea trial on the P&O ferry \nMV Pride of Bilbao in November 2006. Modifications were made after this trial. A \nlonger trial was carried out on the Pride of Bilbao from February to April 2007. The \nsystem was shipped to Singapore in May 2007, and installation was completed in \nJakarta on 4 June 2007.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.009 |
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".