Mineral Composition of Sapropelles of Lakes of the Right Bank of the Ob River (Middle Ob Region)
Bibliographic record
Abstract
The objective of this work is to study the mineral composition of bottom sediments of eight small lakes located on the right bank of the Ob River (Western Siberia) in the Surgut region of the Khanty-Mansiysk Autonomous Okrug - Yugra. The studies were carried out using wave dispersive X-ray fluorescence (WDFR) spectroscopy. The content of organic substances, ash, and oxides in the ash in the samples was determined. Based on these data, the studied bottom sediments were classified. The bottom sediments of Lake S-1 are siltstone sands, lakes Vach Lor and S-189 - weakly sapropelic siltstone sands, lakes S-5, S-6, S-3, S-89, and S-294 - typical sapropels. The article presents the content of the main elements in the ash of the studied samples.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".