Determining ages of conifer trees with resistance microdrilling
Bibliographic record
Abstract
This study verified the potential for determining the age of conifer trees using resistance microdrilling. A laboratory investigation, comparison of resistance microdrilling and counting branch whorls, and dating of old trees in a historic heritage site were conducted in this study. Two methods were proposed to determine the drilling path for resistance microdrilling. The results showed that resistance microdrilling is suitable for non-destructive testing (NDT) of living conifer trees. Moreover, the drilling path deviation must not exceed 15° to obtain reliable results. The absolute detection error of resistance microdrilling was within ± 3 years for young trees (age < 40 years old), within ± 5 years for old trees, and the relative error for all trees was less than 10%. The two methods for determining the drilling path proposed in this study are recommended for aligning the needle with the pith. For trees with a DBH exceeding the range of a resistance microdrill, the pith and age may be determined by using a “two-way drilling” in a forward and then reverse direction.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".