Are point measurements in a bog representative of their surrounding area?
Bibliographic record
Abstract
Descriptions of abiotic properties in bogs are often based on point measurements. To assess whether these point measurements are representative of their surrounding area, depth to water table (DTW), soil moisture, pH, electrical conductivity (EC), the degree of peat humification and ash content were measured at 25 points in a 4 m × 4 m study site. The gravimetric moisture content of the peat samples varied little (coefficient of variation (CV): 2–4 %), while the volumetric moisture content (CV: 11 %) and DTW (CV: 48 %) were more variable. Pore water pH also varied little throughout the study site (CV: 1 %), but pore water EC was more variable (CV: 84 %). The degree of humification was generally within 1–2 points on the von Post scale. Ash content was fairly variable (CV: 61–100 %). Plant species composition varied across the study site in relation to microtopography and was, not surprisingly, most strongly influenced by DTW and near-surface soil moisture. Some point measurements in bogs (e.g. pH, gravimetric moisture content) are likely to be representative for an area of at least several square metres, while other variables (e.g. EC, volumetric moisture content, degree of humification, ash content) may need to be measured at more than one point to obtain a representative average.
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".