PICES Press, Vol. 10, No. 2, July 2002
Bibliographic record
Abstract
International symposium on North Pacific transitional areas [pp. 1-4] [pdf, 0.8 Mb] PICES Volunteer Observing Ship (VOS) Workshop [pp. 5-7] [pdf, 0.3 Mb] Joint meeting on Causes of marine mortality of salmon [pp. 8-9] [pdf, 0.3 Mb] The state of the western North Pacific in the second half of 2001 [pp. 10-11] [pdf, 0.5 Mb] State of the eastern North Pacific in spring 2002 [pp. 12-13] [pdf. 0.4 Mb] The status of the Bering Sea in the second half of 2001 [pp. 14-15] [pdf. 0.3 Mb] PICES Workshop on “Perturbation analysis” on subarctic Pacific gyre ecosystem models [pp. 16-17] [pdf. 0.4 Mb] Status and future plans for SOLAS-Japan [pp. 18-20] [pdf. 0.5 Mb] China-Korea Joint Ocean Research Center: A bridge across the Yellow Sea to connect Chinese and Korean oceanographic institutes and scientists [pp. 21-22] [pdf. 0.3 Mb] Persistent changes in the California Current ecosystem [pp. 23-24] [pdf. 0.2 Mb] The Hokusei Maru: 53 years of research in the Pacific [pp. 25-28] [pdf. 0.5 Mb] First meeting of the CLIVAR Pacific Panel [pp. 29-30] [pdf. 0.3 Mb] Call for contributions to the North Pacific Ecosystem Status Report [p. 31] [pdf. 0.2 Mb] PICES announcements [p. 32] [pdf. 0.2 Mb]
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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.404 | 0.303 |
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".