Coordinated Eastern Arctic Experiment (CEAREX) Data
Bibliographic record
Abstract
cearex was a multi platform field program conducted in the norwegian seas and greenland north to svalbard from september 1988 through may 1989 canada denmark france norway and the united states participated in the experiment primary data from cearex are available on ftp in ascii format along with some data from the marginal ice zone experiment mizex and the eurasian basin experiment eubex meteorology data from cearex and the mizex 1983 1984 1987 include near surface time series and rawinsonde upper air sounding profiles of wind pressure temperature and humidity collected on ship platforms and ice floe stations a collection of hydrography data include ctd std and bottle data from a ship and two operations camps hydrography data also include data from the mizex the eubex nodc archives and a merged set of data from five other cruises sea ice data consist of compressive stress measurements made in a multi year floe stress sensor data for time series of stress invariants and ice accelerometer data for movements associated with the deformation of multi year ice floes noise data consist of acoustic measurements from a variety of hydrophone and geophone arrays and ambient noise observations from a ship using omni directional hydrophones tethered beneath the ice cover biophysical data include bottle sample zooplankton sampling and bioluminescence data bathymetry data consist of gridded trackline data collected from the two operations camps and digital bottom bathymetry and continental topography data for the fram strait region and a portion of the arctic ocean sample position data consist of hourly listings of position and velocity for both manned stations and unmanned drifting buoys data are available via ftp
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.016 | 0.008 |
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".