Annual report 1996 - North Pacific Marine Science Organization (PICES). Fifth meeting, Nanaimo, British Columbia, Canada, October 11-20, 1996
Bibliographic record
Abstract
Proceedings of the Fifth Annual Meeting Agenda Report of Opening Session Report of Governing Council Meetings Reports of Science Board and CommitteesScience Board Working Group 5: Bering Sea (Final Report)Working Group 9: Subarctic Pacific Monitoring Report of the First Meeting Report of the Second Meeting Biological Oceanography CommitteeWorking Group 11: Consumption of Marine Resources by Marine Birds and Mammals Fishery Science Committee Working Group 12: Crabs and Shrimps Marine Environmental Quality Committee Working Group 8: Practical Assessment Methodology Physical Oceanography and Climate CommitteeWorking Group 10: Circulation and Ventilation in the Japan Sea /East Sea and its Adjacent Areas Technological Committee on Data Exchange Finance and Administration Report of Finance and Administration Committee Assets on 31st of December, 1995 Income and Expenditures for 1995 Budget for 1997 Composition of the OrganizationOfficers, Delegates, Finance and Administration Committee,Science Board, Secretariat, Scientific and Technical CommitteesList of ParticipantsList of Acronyms(Document has 163 pages.)
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.211 | 0.152 |
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".