Province of British Columbia Ministry of Forests Seed and Seedling Extension Topics
Bibliographic record
Abstract
the corner, and the world became two Thorpe’s richer on June 23, i.e. congratulations to Susan at Northwood with her twin baby boys (Daniel & Nathan)! Also a new Van Steenis girl (Olivia Marie) on June 14 and...just arrived at Dave and Katie Trotter’s...on July 20th, a 6lb-4oz baby girl (Maia Jeanne)!! Oh, hold on, one more!!! A new baby girl (Rianne Judith) at Paula and Ivan Haag’s on July 26 (Summerland, PRT)....Talk about a nursery industry!? Sad news is that our industry has lost two key players. On May 10, 1995 Ted Shurtliff (Peace River Greenhouses, Taylor, B.C.) passed away from cancer. Those of us that had the opportunity to get to know him will certainly not forget his jovial nature and vast experiences in life ranging from being agricultural advisor to U.S. president Richard Nixon to starting the most northerly nursery in B.C. On July 18, 1995 Mike Bruhm (Prince George Region Nursery Stock Coordinator) passed away from a fatal heart attack while working on a cutblock in Mackenzie. His involvement in B.C. LETTERS TO THE EDITOR??
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.191 | 0.038 |
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".