Soil chemical properties and distribution of sclerotium grains in forest soils, Harz Mts., Germany
Bibliographic record
Abstract
Relationships between the distribution of fungal sclerotium grains and soil chemical properties were studied in forest soils of Podsole, Braunfahlerde, and Braunerde-Podsoles in Harz Mts., Germany. Development of sclerotium grains ns was dominant in surface horizons (Ah, E horizons) within a 10-cm depth and weight density of grains ranged from 0.01 to 4.99 g kg-1 soil. The SEMI-EDX analysis proved that the weight percentage (excluding C and N) of Al2O3 was 39.8–63.9% inside the grains. The content of elgosterol, a biomarker of viable fungal biomes, showed good correlations with weight density of sclerotium grains in grain-detected soils. The sclerotium. grains were likely to be formed in soils with high ratios (>0.6) of organic bonding Al (Alp) to amorphous Al (Alo), and with high contents of exchangeable Al (Al3+) (>0.54 g kg-1). The content and state of active Al were believed to be responsible for the development of sclerotium because sclerotium grains were not detected in acid soils which had lower levels of free colloidal Al (Ald, Alo, Alp). We believed that the intensive clay destruction associated with past lessivage process induced the absence of free colloid Al in such forest soils.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| 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".