PICES Press, Vol. 18, No. 1, Winter 2010
Bibliographic record
Abstract
PICES science in 2017: A note from the Science Board Chair. 2017 PICES awards. Capacity building: PICES scientists reach out to the next generation of oceanographers in Vladivostok. A MONITOR/TCODE Workshop on “The role of the northern Bering Sea in modulating the Arctic II”. New leadership in PICES. PICES Interns. An unusual gelatinous plankton event in the NE Pacific: The Great Pyrosome Bloom of 2017. Building international partnerships to enhance science-based ecosystem approaches. The Bering Sea: Current status and recent trends. The state of the western North Pacific during the 2017 warm season. Ocean acidification and carbon dioxide uptake in the global ocean. In remembrance of Dr. William T. Peterson. Call for Papers - William Peterson Commemorative Issue. Global Ocean Observing System – Biology and Ecosystems Panel report. OceanObs’19 call for Community White Paper abstracts. Calendar of events.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.461 | 0.335 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".