Kozak's Variable-Exponent Taper Equation Regionalized for White Spruce in Alberta
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Bibliographic record
Abstract
Abstract Kozak's (1988) variable-exponent taper equation was estimated for white spruce by ecoregion of Alberta to reflect stem form variability among different ecoregions. Inspection of fit statistics and residual plots showed that the taper equation fitted the data quite well. Since the relative height constraint p had little impact on the overall performance of the taper equation, the optimum p value was estimated as a part of the nonlinear least squares procedures. Regional differences of the taper equation were examined and tested using the nonlinear extra sum of squares method. Ecoregions of similar taper relationships were combined to provide a composite equation. Performance of the taper equation in predicting diameter inside bark, total volume, and merchantable height was evaluated. Results indicated that the biases in predictions were small, both across different parts of the stem and for various tree sizes. West. J. Appl. For. 15(2):75-85.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.003 | 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 it