Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since 1978, oceanographers, meteorologists, and the U.S. Navy have deployed a large number of Argos satellite‐tracked drifters in all of the major ocean basins (Table l). The Data Buoy Cooperation Panel (DBCP) of the World Meteorological Organization/Intergovernmental Oceanographic Commission (WMO/IOC) has coordinated the deployment of drifters via cooperative projects in various ocean basins. In any given month since 1993, there has been an array of more than 600 drifters in the global ocean (http://www.aoml.noaa.gov/phod/dac/ dacdata.html). Most of the raw observations and processed data have been accumulating at the Meteorological and Environmental Data Service (MEDS), Canada. The raw data on file have been processed from MEDS, and other sources, and merged with the processed data at the Atlantic Oceanographic and Meteorological Laboratory (AOML) to form a single file.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it