DETERMINATION OF HEAVY METALS CONCENTRATION OF LOCAL AND IMPORTED WHEAT GRAINS STORAGE AND WHEAT FLOUR IN SOME SILOS of BAGHDAD CITY
Bibliographic record
Abstract
The aim of this study was to estimate the levels of some toxic heavy metals such as (Cd, Pb,Cr,Ni,Zn,Cu,Fe,Co,As)by using the X-Ray fluorescence .in a total of forty-one samples of wheat grains which were (local, American, Australian, Canadian and mixing mills) samples collected randomly and seasonally from three silos in Baghdad ,also wheat flour collected from mills related to the manufactured of grains of each silo. The results showed that the levels of (Cadmium, Lead and Chromium) were surpassed the permissible safe limits according to FAO/WHO (2001).It was found that the highest concentration of cadmium detected in wheat flour in AL Dora silo for summer and spring seasons were 12.6mg/kg, as well as the high level of lead 1.021mg/kg detected in AL Dora silo in local wheat for winter and summer seasons and wheat flour for spring season, also in Australian wheat for spring season in Taji silo. Finally, the high value of chromium content was in wheat flour in Taji silo for spring season (4.686) mg/kg. Generally, analysis of these data shows significant effects (P≤0.05) of most samples analyzed for Cd >Pb >Fe >Zn >Cu >Ni >Cr >Co while AS show no significant difference in all samples.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".