Agriculture and Agri-Food Canada, and Canadian Food Inspection Agency
Bibliographic record
Abstract
by nuclear powered vessels. Annexes for other provinces and territories may be developed in the future. FOREWORD The goals of nuclear emergency planning, preparedness and response are to protect the public from immediate or delayed health effects due to exposure to uncontrolled sources of radiation and to mitigate the impacts of a nuclear emergency on property and the environment. Due to the wide ranging effects and concerns of a nuclear emergency on public health and safety, property and the environment, jurisdictions of all orders of government have to be considered. The Federal Nuclear Emergency Plan and related Annexes describe in general terms the planning concepts, preparedness activities, and response structures, processes and linkages for a coordinated federal and provincial response to nuclear emergencies affecting Canada or Canadians at home or abroad. Operational details for emergency response will be contained in supporting documentation to the Federal Nuclear Emergency Plan, such as site/scenario-specific Parts, emergency procedures manuals, and technical guidelines. Federal support and joint coordination with provincial or territorial governments during a nuclear emergency will be carried out in accordance with the principles and measures contained in the Federal
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.134 | 0.030 |
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".