Simulated Mapped Plots Derived from NL Spacing Trials for Sector Subsampling Study
Bibliographic record
Abstract
The base data were collected from 3 early spacing trials located in western Newfoundland, Canada and established in the early 1980s. The dominant species was balsam fir with minor components of black spruce and white birch. Five spacing treatments were applied in this study areas using a randomized complete block design: control, or no spacing, (S00), 1.2m spacing (S12), 1.8m spacing (S18), 2.4m spacing (S24) and 3.0m spacing (S30). Each treatment was repeated 3 times per site (3×3×5 = 45 PSPs in this study). Treatments were applied to a 0.25 ha block (50m × 50m), and a circular permanent sample plot (PSP) was established near the center of each block. Plot sizes varied so that there were approximately 100 trees per plot following treatment. All trees 1.3 m and taller were identified by species and measured for diameter at breast height (DBH, nearest 0.01cm, BH = 1.3 m) and total height (HT, nearest 0.01 m). PSPs were remeasured at 3 to 5–year intervals but only the last measurements were used here. Stemwood, bark, branch, and foliage biomass (kg) was estimated for each tree using the Canadian national biomass equations. Total above-ground biomass (BM, kg) was estimated by summing these components.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".