Wood properties of loblolly pine grown under intensive management in the Upper Coastal Plain of southwest Georgia
Bibliographic record
Abstract
Loblolly pine ( Pinus taeda L.) productivity over the past century has increased significantly from genetic improvements and more intensive management practices. The current study concludes a series of assessments of loblolly pine growth/physiological responses to continuous resource management treatments of weed control (W), weed control plus irrigation (WI), and weed control plus irrigation and fertigation (WIF). Increment cores were analyzed by X-ray densitometry to assess treatment impacts on wood properties. Plotting the wood property data against assigned years allowed results to be compared with available weather data. Mean values for all wood property determinations were similar between the W and WI treatments. Increased ring width for the WIF treatment was consistent with other studies demonstrating substantial increases in loblolly pine productivity by fertilization. Since decreases in ring specific gravity (SG) from fertilization can be offset by increases in ring SG from irrigation, gains in productivity were achieved without reducing wood quality.
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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 | 0.000 |
| 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 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".