Cartographic support of the section “Agroecological maps” in the regional atlas
Bibliographic record
Abstract
The proposed series of maps reveals the agroecological condition of the region, which are important for agriculture. The prepared maps are represented by three blocks. The block of indicators of agroclimatic conditions is a map of agroecological potential. This indicator increases from the northeast of the region to the southwest, taking values in the range from 6 to 7.5 points. The block of negative soil properties is represented by a map of waterlogged soils. Soils with varying degrees of waterlogging from weak to strong are common in the northern part of the region, reducing the agroecological potential of this part of the region. The block of soil quality indicators includes a series of maps: the content of physical clay; thickness of humus horizons; content and reserves of humus. In the north of the flat part of the region, soils of sandy and sandy loam composition with a physical clay content of no more than 20 % predominate; in the central and southern regions—soils of a heavy granulometric composition with a physical clay content of more than 40 %. The most favorable for the cultivation of agricultural crops are light and medium loamy soils with a physical clay content of 20–30 %, found mainly in the eastern part of the region. The thickness of humus horizons in soils varies from 1–3 to 30–40 or more cm. In most of the territory of the region, the thickness of organo-mineral horizons is in the range of 10–20 cm. The humus content in most of the territory of the region varies and is estimated as very low and low (less than 4 %). Humus reserves in most of the region do not exceed 50 t/ha. These maps can be recommended for inclusion in the agroecological section of the regional geographical atlas.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.015 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.126 | 0.030 |
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".