Determination of Heavy Metals in the Different Samples of Table Salt
Bibliographic record
Abstract
Table salt is most widely used food additive around the globe. Any contamination to salt may lead to health hazards and ailments. In this study concentration of heavy metals were determined in different table salt sample. Twelve different salt sample were collected from various localities of Pakistan including all the four provinces. The concentration lead (Pb), Cadmium (Cd), Chromium (Cr), Iron (Fe), Manganese (Mn) and Copper (Cu) were determined by atomic absorption spectroscopy and compared it with Codex Alimentarius commission. The level of Pb, Cd, Cr, Fe, Mn and Cu were in the range of 0.1-2.96 mg/kg, 0.08-1.18 mg/kg,0.02-2.4 mg/kg, 2.5-16.7 mg/kg, 0.1-5.1 mg/kg, 0.6-3.1 mg/kg respectively. In most of the sample the level of toxic metal are within the permissible limits as prescribed by Codex Alimentarius Commission.
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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 | 0.002 | 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 | 0.001 | 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".