Application of a sequential partial extraction procedure to investigate uranium, copper, zinc, iron and manganese partitioning in recent lake, stream and bog sediments, northern Saskatchewan / by Douglas Andrew Warren Lehto. --
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Bibliographic record
Abstract
Sequential partial extractions show that partitioning of uranium, \ncopper, zinc, iron and manganese into lake, stream and bog sediments \nare affected by the type and abundance of component fractions present \nin sediments and by the physico-chemical conditions of the superjacent \nwaters. The water pH influences the concentration of uranium retained \nby organic matter as well as the relative proportion partitioned into \nthe amorphous iron hydroxide fraction and the humic and fulvic acid \ncomponents of the organic matter fraction. Copper partitioning is \ncontrolled by the percent carbon content of sediments which influences \nthe concentration of metal retained in the organic matter fraction. \nThe amount of copper retained by other component fractions is determined \nby their relative abundance in sediments. The Eh-pH conditions \nof the superjacent waters control the solubilities of iron, manganese \nand zinc thereby affecting the availability and sorption of these \nmetals into the organic matter and inorganic hydroxide fractions of \nsediment. Metal partitioning characteristics and physico-chemical \nfactors which influence metal partitioning should be considered when \nusing lake, stream and bog sediments in geochemical exploration.
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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 | 0.000 | 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 | 0.000 | 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 it