Carbon Storage Potential in Offshore Nova Scotia, Canada
Bibliographic record
Abstract
Summary Carbon management is a growing global industry that is critical to achieving emissions reduction targets while presenting new economic opportunities. Atlantic Canada is well-positioned to lead in this field through its offshore geologic storage resources and an emerging marine carbon dioxide removal (mCDR) sector. With a relatively small emissions profile and significant storage potential, the region could serve as a carbon sink for national and international efforts. Realizing this potential requires coordinated development and further geological and marine research. Net Zero Atlantic is advancing this work by leading technical studies and supporting initiatives. The Nova Scotia Offshore CCS Atlas is refining earlier estimates of carbon storage potential on the Scotian Shelf to support future project planning. This includes geologic and reservoir engineering analyses, probabilistic assessments, and digital models, with publication planned for 2027. Concurrent mCDR research, including Ocean and River Alkalinity Enhancement, is progressing through academic and start-up collaborations. Insights from a 2024 CCS Roundtable have informed the development of a regional Roadmap outlining key actions to enable CCS deployment. With storage potential exceeding local needs, Atlantic Canada has the potential to become a carbon management hub serving eastern Canada, the U.S., and Europe.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".