Botanikai állapotfelmérés Somogydöröcske térségében (Külső-Somogy, Hungary)
Bibliographic record
Abstract
The vegetation was investigated on loess hills and the adjoining floodplain rivulet Koppány in SW Hungary. The aim of the botanical survey was the registration of present bo-tanical condition, as first step of landscape restoration plan-ning. It was found, that many species of natural phytocoeno-sis are encountered, but overall in disturbed vegetation, not by typical coenological conditions. The remainder species of hilly forests refer early presence of xerotherm oak woods (Vicio sparsiflorae-Quercetum pubescentis), illyrian beech woods (Vicio oroboidi-Fagetum) and illyrian oak-hornbeam (Helleboro dumetorum-Carpinetum) forests. The hilly grass-lands are low-natural fallows. The natural vegetation of al-luvium rivulet Koppány consist of mesotrophic wet meadows, tall-sedge beds and tall-herb vegetation of floodplains.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".