Petroleum Board, and the Canada-Nova Scotia Offshore Petroleum Board have
Bibliographic record
Abstract
prepared these guidelines to aid operators in the management of waste material associated with petroleum drilling and production operations in offshore areas regulated by the Boards. These guidelines were prepared jointly by the three Boards with the assistance of a working group comprised of government, industry and public representatives (see Appendix A). The Boards may develop or adopt guidelines, standards and recommended practices to support and complement the regulations they enforce. In all cases, the intent of the Boards is to provide additional information and guidance to operators so that they may better understand the expectations of the Boards regarding responsiveness to, and compliance with, the regulatory requirements. Section 1.2 of these guidelines provides a description of the relevant portions of the regulatory regime applicable to Canada’s offshore oil and gas operations. The authority to issue guidelines and interpretation notes with respect to regulations is specified by subsection 5.3 (1) of the Canada Oil and Gas Operations Act, sub-section 156(1) of the Canada-Nova Scotia Offshore Petroleum Resources Accord Implementation Act, and sub-section 151.1 of the Canada-Newfoundland and Labrador
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.007 |
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".