MARKET BASKET SURVEY OF SELECTED METALS IN FRUITS FROM KARACHI CITY (PAKISTAN)
Bibliographic record
Abstract
Metals are essential for important biochemical and physiological functions and are necessary for maintaining health throughout life. In order to assess the impact of human activity on the food chain, monitoring of trace metals in a variety of fruits being sold in Karachi’s metropolis has been focus of this study. Trace levels of heavy metals such as Fe, Mn, Pb, Cu, Co, Ni, Cd, Cr and Zn were determined in 10 different varieties of fruits purchased from local market of Karachi city of Pakistan. The dried powdered samples were digested in 1: 3 mixtures of Perchloric acid (HClO 4) and Nitric acid (HNO 3) and metal levels were analyzed by using atomic absorption spectrophotometer. The results were in the range of 7.924-24.674 ug/g Fe, 0.531-7.571 ug/g Pb, 0.013-0.612 ug/g Mn, 0.543-3.234 ug/g Cu, 0.144-5.033 ug/g Ni, 0.1730.299 ug/g Cd, 3.268-4.343 ug/g Cr, 0.138-21.409 ug/g Zn, 0.104-1.168 ug/g Co.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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 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".