Bio-Revegetation Impact on the Physicochemical Characteristics of a Sandy Quarry Soil in Terga Beach Region in Algeria
Bibliographic record
Abstract
In order to define the impact of a bio-revegetation effect on soil physicochemical properties, we used Acacia Saligna in variants with bio-fertilizers such as rhizobia and mycorrhizae that play a key role in the productivity and sustainability of soil as well as the environmental protection. The area of study is a degraded sandy quarry in Terga, a coastal semi-arid area located in the northwestern part of Algerian. Our sampling and analysis of soil were made after each trimester of experiments in the fields, using four blocks, each one containing ten plots. Sampling is a composite of soil that was made in each plot diagonally on a depth of 10 cm and a diameter of 30 cm from the plant, at different times: first trimester (3 months), second (6 months), and third (9 months). Preliminary results showed a real and favorable modification of substrates by obtaining materials with less alkaline pH, there is a significant phosphorus increase in the second and third trimester compared to the first trimester, however the soil calcareous nature prevents the expression of some parameters resulting in a small improvement in total nitrogen and a deficiency in both exchangeable magnesium and organic matter.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".