Bibliographic record
Abstract
To encourage shallow gas production from up-hole non-producing zones on provincial lands and increase Crown royalty revenues, the Government of Alberta has adopted a shallow rights reversion (SRR) scheme for oil and gas mineral rights holders. Under SRR the rights to natural gas above the top of the shallowest productive zone are to be severed at the time of lease continuation and revert to the Crown, but the rights from the top of the shallowest productive zone to the base of the deepest productive zone will continue to be held by the Crown lessee.In 2007 the British Columbia government amended the Petroleum and Natural Gas Act to establish a zone specific retention (ZSR) scheme. Under the ZSR system the Crown lessee need only establish the mere presence of oil or gas in a standard Zone Designation layer in order to continue the lease.Unlike British Columbia, the SRR system in Alberta applies to all existing Crown leases, and is therefore more controversial than the ZSR regime. In April 2011, Alberta Energy intends to start serving SRR notices. The department has recently changed its policy regarding the consolidation of petroleum and natural gas agreements. The more complicated SRR system, which facilitates an increased number of oil and gas developers, may prompt additional trespass and commingling disputes.
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 | 0.045 | 0.092 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.019 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.011 | 0.010 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".