Influence of temperature and precipitation on radial growth properties of hybrid white spruce (Picea glauca (Moench) x engelmannii (Parry)) in Central Interior British Columbia, Canada
Bibliographic record
Abstract
It is prudent to understand how changes in climate will affect tree-ring growth, wood fibre quality, and percent carbon content in natural and planted stands in central interior British Columbia (BC), as BC produces high volumes of wood fibres that are competitive in a global market. Wood properties within natural and planted stands of hybrid white spruce (Picea glauca (Moench) x engelmannii (Parry)) (percent carbon, ring-width, earlywood and latewood width and wood cell properties of cell wall thickness, density, microfibril angle, radial diameter and coarseness) were assessed to determine if climate variation is a limiting growth factor. Results show precipitation is an important limiting factor in planted stand growth with some indication that increasing temperatures limit growth in natural stands. Relationships between climate and percent carbon indicate that rising winter, spring, and summer temperatures coupled with reduced precipitation strongly limit percent carbon accumulation in most natural and planted stands.
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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 | 0.000 | 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".