THERMAL PROPERTIES AND SOIL-WATER CHARACTERISTIC CURVES OF COAL FLY ASH AND MINE TAILINGS MIXTURES
Bibliographic record
Abstract
The results of a pilot test carried out near a tailings disposal pond at the Musselwhite Mine, Northern Ontario, Canada are analyzed in this thesis to study the application of coal fly ash in mine tailings under the natural setting. A set of water content and temperature data is collected from four tanks at the test site filled with mine tailings\n(Tank A), coal fly ash and mine tailings in a stratified approach (Tank B), and coal fly ash and mine tailings mixtures in mass ratios of 10:90 (Tank C) and 15:85 (Tank D), respectively. These data are analyzed in this thesis. Furthermore, the thermal properties of mine tailings and mixtures of coal fly ash and mine tailings are measured by a thermal properties analyzer, and their soil-water characteristic curves are developed by the filter paper method in the lab. The results from the lab tests are correlated to the field\nobservation to enhance the understanding of field application of coal fly ash in the management of reactive mine tailings.
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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 | 0.000 | 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 | 0.001 |
| 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".