DETERMINATION OF LABILE AND STRONGLY BOUND METALS IN LAKE WATER
Bibliographic record
Abstract
Abstract--Differential pu se anodic stripping voltammetry is applied to differentiate and determine the labile and strongly bound forms of Zn. Cd. Pb and Cu in lake water without preconcentration of the sample. The sensitivities a established for an oxidation peak current of 0'020/JA are: 0.2 ppb for Zn. 0.4 ppb Cd. 0.7 ppb Pb and 0-5 ppb for Cu. For the analysis of a lake water containing 5.0-24.5 ppb of the four metals, the relative S.D. ranged from 1.6 to 10 per cent. Interferences of cations and anions and the choice of a buffer system have been discussed. The method has been applied to study a number of small akes in the Sudbury area. Ontario. The state of trace metals in the aquatic environment has been the focus of interest ofchemical s well as bio-logical studies. It is well known that complexation of metals by the various organic compounds and inor-ganic ligands in natural waters maintains a reservoir of metals in solution. This interaction regulates the avail-ability of metals through the mass action eqt, ilibria of the complexes. Another mechanism which could play
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.001 |
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".