Moving Vessel Profiling (MVP) data collected by the CCGS Amundsen in the Canadian Arctic
Bibliographic record
Abstract
The Canadian research icebreaker CCGS Amundsen is equipped with a Moving Vessel Profiler (c) (MVP), a multi-purpose instrument used to collect both shallow and deep water data sets, without the need to stop the vessel. Data on physical and chemical characteristics of the water column are collected during transects along which several consecutive casts of the MVP are conducted. The MVP was deployed during the Amundsen scientific expeditions, in the summer and fall of 2014 to 2016. The components of the system varied slightly throughout the year but typically included a Micro CTD (Temperature, Conductivity and Pressure), a Micro DO2 (Dissolved Oxygen), a Micro SV (Sound velocity and Pressure) and an ECOFLO (Fluorescence) and a C-Star (Transmittance) probe. The MVP data were corrected and then controlled by comparing them to CTD-Rosette and thermosalinograph (TSG) data when available. Variables are provided for every decibar (dbar) between the maximum and minimum pressure recorded for each cast. Detailed metadata and reports are included to provide more information.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".