CIMP187: Shrub Stem Data, 2018-2019
Bibliographic record
Abstract
This data provides characteristics of shrub stems measured and sampled in 2018 and 2019 as part of a project aimed at characterizing the nature of woody plant dynamics across the treeline ecotone in central Northwest Territories, Canada. Two types of sites were targeted for sampling: "Greening" sites, where satellite remote sensing detected a significant increase in maximum productivity since year 2000, and "No Change" sites where no change had been detected. A total of 29 sites (15 'Greening' and 14 'No Change') were sampled. Four 100 metre transects were established at each site. Each transect was comprised of 11 sampling points separated by 10 metres yielding 44 sampling points per site. Measurements associated with each stem contained in the database include species, size (diameter and length), year of establishment, and vertical growth rate. Details on sample collection and processing used in the generation of the data are described in the associated publication. The data were collected as part of Project #187 (Changes in Vegetation Productivity and Phenology Across the Bathurst Caribou Range) of the Government of the Northwest Territories Department of Environment and Natural Resources Cumulative Impact Monitoring Program.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.038 |
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".