ОЦЕНКА МЕСТООБИТАНИЙ БОЛОТНЫХ СОСНЯКОВ ЮЖНОЙ ТАЙГИ ЗАПАДНОЙ СИБИРИ В ЦЕЛЯХ ГИДРОМЕЛИОРАЦИИ
Bibliographic record
Abstract
ISSN: 0024-1148 Russian Journal of Forest Science. 2014, No. 3, pp. 31-38 EVALUATION OF WETLAND PINE STAND HABITATS IN SOUTHERN TAIGA OF WESTERN SIBERIA FOR HYDROTECHNICAL MELIORATION T. T. Efremova, A. F. Avrova Forest Institute, Siberian Branch of the Russian Academy of Sciences Academgorodok 50 bldg. 28, Krasnoyarsk, 660036, Russia E-mail: efr2@ksc.krasn.ru Received 12 February 2006 For the first time for forested wetlands the peat soils were evaluated for the purpose of meliorative value. Morphometric parameters of needles were shown to be helpful in forest melioration practice. This is affordable, simple and effective indicators for the site class of natural unmanaged wetland pine stands and for the estimation of draining effectiveness. Acknowledgements: This work was supported by the International Science and Technology Center (project no. 4079). Keywords: wetland pine stands, site class, forest melioration, land evaluation. 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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 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".