Origin, Mobilization and Distribution of Selenium in a Soil/Water/Air System: A Global Perspective With Special Reference to the Indian Scenario
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Narrow tolerance limit of selenium (Se) brings serious concerns through deficiency as well as toxicity in the biological and environmental systems. Both geogenic and anthropogenic activities govern Se origin in nature, while its bioavailability is controlled by biogeochemical conditions and nature of Se species. Selenium hazards have drawn a special research interest globally, especially in USA, Canada and China, where large populations of aquatic life and human beings are being severely affected. Both Se deficiency and toxicity has been reported in India. Deficiency is shown to amplify arsenic (As) poisoning in As polluted regions. Industrial, mining, coal burns, and natural sources have been recognized as major causes of Se poisoning in soil, surface/groundwater and atmosphere. Besides local scale pollutions, the NW Indian state Punjab is known as the most alarmed region with >1000 ha of contaminated farm lands. Alkaline soil pH, cultivation of Se bioaccumulators, improper treatment of industrial effluents/emissions is responsible for Se mobilization and easy bioavailability. Acidification of soil pH, phytoremediation, application of excessive organic matters and sulfur‐rich minerals such as gypsum, changes in cultivation practices to non‐bioaccumulators, regulatory industrial effluent/emission treatment, and avoidance of Se‐rich fodders are considered to overcome Se‐toxicity, while Se supplements and/or Se‐rich fertilizers may resolve Se‐deficiency.
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.
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 | 0.000 |
| 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 it