CTD profiles from the 2017 Mission Arctic Citizen Science Sailing Expedition in Western Greenland and Baffin Bay
Bibliographic record
Abstract
This dataset consists of 147 CTD profiles that were collected during the Mission Arctic citizen science sailing expedition to western Greenland, Nares Strait, and Baffin Bay. These data were collected in July-September 2017. A RBR Concerto CTD (https://rbr-global.com/) that measured conductivity, temperature, and pressure was used in fjords from Paamiut to Upernavik in July 2017. A Sontek CastAway CTD (https://www.sontek.com/castaway-ctd) was used for all stations north of Upernavik in western Greenland and on the return leg along the western shore of Baffin Bay to St. John's, Newfoundland. All CTD profiles have been quality controlled to remove spikes, surface soak, and the upcast. The remaining downcast data were averaged in 0.5 m bins and stored in a single network common data form (netCDF) file that also contains the time, latitude, and longitude for each cast.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.016 |
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".