Potatoes Sustainability in Prince Edward Island
Bibliographic record
Abstract
Potato is the major food crop in Prince Edward Island, Canada and agriculture is highly dependent on local weather and climate especially in rain-fed areas. This research focuses on finding different climate extreme indices for growing season (May-October) and examining their impacts on tuber yield in Island. Changing patterns of different temperature and precipitation extreme indices for 30 years period from data of five meteorological stations (East Point, Charlottetown, New Glasgow, Summerside and Alberton) were calculated using ClimPACT2. Statistically significance of the trends and their slope magnitude were determined by using Mann-Kendall test and Sen's slope estimates respectively. Data of the selected meteorological stations were averaged to calculate the climate extreme indices for the whole Island. There were increasing trends at most of the stations for continuous dry days, warm and warmest nights, summer days, tropical nights and decreasing trends for total precipitation, daily temperature range, frost days, cold days and cold nights. The patterns of climate extreme indices in the growing season helped in examining the effects of the climate change on tuber yield. The stepwise regression (forward selection) model showed that 43.99% of tuber yield variance was attributed to Continuous Dry Days (CDD), Daily Temperature Range (DTR), Daily Maximum Temperature (TXx) and Tropical Nights (TR) climatic factors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".