Plant Hardiness Zones of the Atlantic provinces
Bibliographic record
Abstract
This plant hardiness zones map shows the different zones in Canada where various types of trees, shrubs and flowers will most likely survive. The map is based on a formula using seven important variables that influence plant survival: 1. Monthly mean of the daily minimum temperatures of the coldest month 2. Mean frost-free period (above 0°C) in days 3. Amount of rainfall from June to November 4. Monthly mean of the daily maximum temperatures of the warmest month 5. A winter harshness index related to rainfall in January 6. Mean maximum snow depth 7. Maximum wind gust in 30 year period The original map was developed by Agriculture and Agri-Food Canada in the early 1960s based on average values from 1930 to 1960. This new map uses 1981 to 2010 averages. To view an interactive version of this map and for more information on plant hardiness zones in Canada, please go to the following Web site: www.planthardiness.gc.ca
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".