Groundwater Resources Offshore Prince Edward Island, Canada, Cruise No. MSM103, 12.9. - 15.11.2021, Emden (Germany) - Halifax (Canada) - Emden (Germany)
Bibliographic record
Abstract
During cruise MSM103 (12.9. 15.11.2021), carried out as part of the SOURCE project, multidisci-plinary investigations were carried out in the Gulf of St. Lawrence Gulf north of Prince EdwardIsland (PEI) to identify and quantify offshore aquifers in the region. For this purpose, seismic, elec-tromagnetic and hydroacoustic measurements were carried out and sediment samples were obtainedwith the gravity corer. The structure of the seabed and the seafloor were explored using acousticmethods. A large number of channel structures could be detected in sections, which are interpretedas parts of glacial or postglacial drainage systems. It is not yet possible to say whether these are con-nected to any existing deeper groundwater systems. In the hydroacoustic data, no escapes of freshwater or gas could be observed in the water column during the cruise. In several places, however, ablanking was evident in the seafloor, which indicates the occurrence of gases and could hint atpotential pathways for gas and / or freshwater in the seafloor. Here, an extended evaluation of thehydroacoustic data after the cruise will provide further insight. In sediment samples taken at a loca-tion north of PEI, a significant drop in salinity and resistivity could be detected in the upper 3m ofthe sediment, which provided a first direct indication of the presence of fresher groundwater. Fromthe electromagnetic measurements carried out in seven working areas, we hope to be able to con-tinue this punctual information over larger areas in order to obtain an extended insight into the pres-ence and distribution of freshwater deposits by the detection of anomalies of the electricalconductivity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".