Analysis of Heavy Metals and Some Physicochemical Parameters in Soil of Major Industrial Dumpsites in Akure Township, Ondo State of South Western Nigeria
Bibliographic record
Abstract
Heavy metals and soil physicochemical parameters were identified as environmental pollutants in some major industrial dumpsites in Akure city of Ondo-State. The pH of the industrial dumpsites ranged from 4.87 to 6.74 with a mean value of 6.34. The organic carbon for the industrial dumpsites ranged from 0.07% to 0.97%, while the organic matter was between 0.13% and 1.68%. The concentration of Zn, Fe, Cu, Pb, Cd, Ni and Cr in µg/g in all the industrial dumpsites A, B, C ranged between 237.60 – 486.00, 174.40 – 499.20, 18.00 – 114.00, 20.60 – 249.20, 1.06 – 2.65, 30.26 – 70.58, and 30.50 – 68.08 respectively. Also the contamination/pollution index of Zn, Fe, Cu, Pb, Cd, Ni, and Cr all the industrial dumpsites. A, B, C ranged between 1.69-3.47, not detected, 0.50-3.17, 0.24-2.53, 1.33-3.23, 0.86-2.01, and 0.31-0.68 respectively Pearson Correlation indicated that Fe, Zn, Ni and Pb were highly significant (p < 0.01).
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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) | 0.001 | 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 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".