Bibliographic record
Abstract
Report on ICES sponsored symposia held in 2009: The 2009 European Marine Sand and Gravel Group Conference; held 7 May 2009, in Rome, Italy. 2009 International Nutrients Scale System (INSS) International Workshop UNESCO; held 10–12 February 2009, in Paris, France. The ICES Deep-Sea Symposium – Issues Confronting the Deep Oceans (ICDO); held 27–30 April 2009, in Azores, Portugal. ICES-GLOBEC Symposium on “Marine Ecosystems: from function to prediction”; held 22–26 June 2009, in Victoria, British Columbia, Canada. Sixth International Conference on Marine Bioinvasions; held 24–27 August 2009, in Portland, Oregon, USA. Cephalopod International Advisory Council, CIAC ’09 symposium on “The effects of environmental variability on cephalopod populations”; held 3–11 September 2009, in Vigo, Spain. ICES Symposium on Rebuilding Depleted Fish Stocks - Biology, Ecology, Social Science and Management Strategies; held 3–6 November 2009, in Warnemünde, Germany.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.321 | 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".