PYROLYSIS AND THERMOGRAVIMETRIC INVESTIGATION OF THE MONGOLIAN KHOOT OIL SHALE
Bibliographic record
Abstract
Oil shales from eight deposits in the central economic region of Mongolia were characterized and their pyrolysis experiments and thermogravimetric study were carried out.The Khoot deposit oil shale was chosen as the best- quality one with maximum shale oil yield.The optimum conditions (heating temperature 550 °C, heating rate 92 °C/min) were determined.Shale oil fractions with different boiling temperature intervals and hard residue were obtained by using ordinary distillation.These products can be used as gasoline, diesel, oil materials and binding materials (bitumen-like hard residue) after isolation of organic bases, acids and phenolic compounds.The Khoot deposit oil shale was investigated by thermogravimetric analysis enabling 10 explain the mechanism of oil shale thermal destruction process in detail.Thermal decomposition had the characteristics of a first-order reaction with activation energy 22.98 kcal/mol (96.28 kJ/mol) calculated from the oil shale thermogram.
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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 | 0.000 |
| 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 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".