Accumulation of Heavy Metals in Zooplanktons from Iraqi National Waters
Bibliographic record
Abstract
Samples of zooplankton's were collected by special net from 8 sites within Iraqi national waters represented by stations: 1- Shatt Al-Basrah cannal, 2- Khour Al-Zubair, 3- Buoy 29, 4-Buoy 13, 5-Buoy 5, 6-Al-Musab, 7- Ras Al-Bisha, and 8-Al-Fao. Samplings were conducted during the period June 2009 and Feb. 2010. Zooplankton's were classified in groups: Copepods, Rofifera, Cirriped larvea, and some other minor species. Major abundant zooplankton's were Copepods, Rotifera, Cirriped larvea, Polychates, and Bivalves, while other zooplankton's which appear in minor abundance were Appendicularea, Castropod, Forminilifora, and Megalopa. Selected heavy metals Cd, Co, Cu, Fe, Hg, Ni, Pb, U, and Zn were determined in the collected samples by adopting a highly sophisticated ICP/MS at Maxxan Analytical Inc., Canada. Levels estimated of heavy metals in µg/g were high for most of studied metals due to two main reasons: 1- the marine vessels sank in the water ways, and 2- discharging of waste water from Basrah City and certain industrial estate around. Trend of descanding concentrations of heavy metals accumulated in zooplankton's at southern Iraqi Waters were in the order: Fe> Zn> U > Cu > Co > Pb > Cd > Hg. Highest levels in µg/g for toxic heavy metals Co (1.91±6.62), Hg (0.40±1.100), Ni (15.52±40.15), Pb (1.013±2.030), and U (88.6±156.55), were reported at site 7 the Ras Al-Bishah station at the top of the Northern West Arabian Gulf due to waste discharge from the Iranian idustrial estate.
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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 | 0.000 | 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".