Bibliographic record
Abstract
BGS leads the ECORD Science Operator (ESO) on behalf of the European Consortium for Ocean Research Drilling (ECORD). ECORD is the European (and Canadian) contribution to the International Ocean Discovery Program (IODP) one of the world’s largest geoscience programmes addressing societal issues under four research themes: Climate and Ocean Change (reading the past, informing the future); Biosphere Frontiers (Deep Life, Biodiversity and Environmental Forcing); Earth Connections (Deep Processes and their Impact on Earth’s Surface Environment) and Earth in Motion (Processes and Hazards on Human Timescales). ESO provides the program with mission-specific platform (MSP) facilities to complement the work of the large drilling vessels contributed to the programme by the USA and Japan. As such it allows scientific research to be conducted in areas where the drilling vessels cannot operate such as shallow seas, ice-covered regions and environmentally sensitive areas such as coral reefs. In 2013, ESO carried out its 5th MSP expedition since it was formed in 2003. The Baltic Sea Paleoenvironment Expedition visited 8 sites and collected material from 30 boreholes from the coast of Denmark in the south to the northern Baltic Sea off the coast of Sweden. Working with the IODP science team, ESO scientists and operations staff broke several records for an MSP expedition including the greatest length of core recovered (1623 m) and the deepest borehole ever drilled in the Baltic (230 m below seabed). The expedition was also the first to implement a large-scale microbiological sampling programme. The cores collected during the expedition were analysed at the expedition Onshore Science Party at the Bremen Core Repository of the MARUM, University of Bremen in January/February 2014. Initial reports show that the expedition achieved all of its scientific objectives.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.327 | 0.158 |
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".