Bibliographic record
Abstract
The Postex system (Haglöf Sweden AB, Långsele, SE) is used to position objects–most often, and in our case, trees–within sample plots. The positions of individual trees are easily obtained and accurate, making the Postex system suitable for collecting ground-based measurements that compliment aerial surveys. Using ultrasound technology, the three stationary transponders, centered around the plot centre, measure the distance between each other and the handheld device, located at the object (i.e., tree) of interest and determines the position of the object in relation to the plot center. The Postex system was used during the canopy tree surveys of the forested Canadian Airborne Biodiversity Observatory (CABO) study sites: Parc national du Mont-Mégantic and Parc national du Mont-Saint-Bruno. Here, we provide a stepwise guide to using the Postex system, specifically related to how it was used for CABO canopy tree surveys (for full description of the Postex system please refer to the Postax version 2.2 and DP II user manuals, see pdfs attached below).
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.529 | 0.512 |
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".