Selected biological and chemical properties of forest floors across bedrock types on the north coast of British Columbia
Bibliographic record
Abstract
We examined some of the factors related to nutrient availability of forest floors developed over saprolitic and colluvial mineral soils of four bedrock types (granodiorite, gneissic diorite, schist, and limestone) on the outer northern coast of British Columbia. All sites were relatively well drained with old-growth coniferous forests. Forest floor morphology was quite similar across sites, with friable, moderately aggregated horizons dominating the profile. There were significant differences in concentrations of total nitrogen, available phosphorus, total sulphur, and condensed tannins across bedrock types. We found detritivores such as sowbugs, millipedes, and potworms across all sites. We could not detect differences in turnover rates (via laboratory respiration) of organic matter between bedrock types. Turnover rates instead were negatively correlated with forest floor carbon and total canopy cover. Overall, forest floor properties were quite similar across the range in parent materials because of the strong influence of climate and vegetation on soil development.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".