Workshop on Marine Research Drilling: Cold‐Water Carbonate Reservoir Systems in Deep Environments (COCARDE): A Pilot Industry‐Academia Partnership in Marine Research Drilling; Fribourg, Switzerland, 21–24 January 2009
Bibliographic record
Abstract
Cold‐water carbonate mounds supporting cold‐water coral ecosystems, often dominated by Lophelia pertusa and Madrepora oculata, are widespread along the Atlantic margins from Norway to Mauritania. During the past 10 years, the scientific community has accumulated new insights on their occurrence and development and identified their potential role in reservoir formation, thus establishing a framework for collaboration with the hydrocarbon industry. A Magellan workshop, sponsored by the European Science Foundation (ESF; http://www.esf.org/), was held in Switzerland in January. The workshop gathered 35 scientists from 10 European and two extra‐European countries (Canada and Morocco), representing 20 research teams, including members of two Integrated Ocean Drilling Program (IODP) proposals. Some of the participants were also involved with two ESF European Collaborative Research (EUROCORES) projects [Microbial Diversity and Functionality in Cold‐Water Coral Reef Ecosystems (MiCROSYSTEMS) and Mid‐Latitude Carbonate Systems: Complete Sequences From Cold‐Water Coral Carbonate Mounds in the Northeast Atlantic (CARBONATE)], and the European Union Framework Program 6 integrated project Hotspot Ecosystem Research on the Margins of European Seas (HERMES).
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".