Interior lodgepole pine ( <i>Pinus contorta var. latifolia</i> ) and white spruce ( <i>Picea glauca</i> ) orchard capacity and demand in Alberta, Canada
Bibliographic record
Abstract
Seed orchards that produce genetically selected or improved seeds for forest adaptation and productivity are a fundamental element of successful tree improvement programs. A productive orchard maximizes the benefits of tree improvement initiatives by meeting regional seed demands for annual artificial regeneration. To understand the current capacity, of six interior lodgepole pine ( Pinus contorta var. latifolia) and eight white spruce ( Picea glauca) orchards in Alberta to produce improved seed and meet reforestation needs, we reviewed the historical annual seed supply and demand. Based on reported annual seed production, we estimated the theoretical productive orchard area required to meet future seed demand. From this work, a tool was developed to visually represent the estimated orchard area required to meet seed production targets for each tree improvement program based on user-defined variables. We identified several under producing orchards, primarily for interior lodgepole pine. In the programs studied, additional productive orchard area will be required to meet seed demand targets and maximize the benefits of the tree improvement programs they serve.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".