The NEBIE plot network: Background and experimental design
Bibliographic record
Abstract
The Intensive Management Science Partnership: NEBIE Plot Network is a stand-scale, multi-agency research project designed to compare the ecological effects of a range of silvicultural treatments in northern temperate and boreal forest regions of Ontario. The NEBIE plot network was established in 2001 with randomized complete block experiments installed at eight sites. The NEBIE acronym stands for Natural disturbance, and Extensive, Basic, Intensive, and Elite silviculture. Each NEBIE treatment was replicated at least three times at each site, using large experimental units (2-ha plots). The NEBIE plot network provides researchers with an opportunity to conduct long-term scientific studies at multiple scales and disciplines. The operational-scale treatment plots allow assessment of a variety of forest values in a context directly relevant to informing forest planning and management. In this paper, we document the experimental design and describe the sites and silviculture treatments. Information about sampling designs is provided, along with preliminary results, in a companion paper published in this edition of The Forestry Chronicle.
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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 | 0.010 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.035 | 0.007 |
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".