Preliminary evaluation of Halocarbon 0.8 oil's impact on metallurgical coal quality
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Heavy organic liquids are typically used for coal laboratory float and sink testing. Perchloroethylene (PCE), methylene bromide and naphtha are typical liquids used in labs worldwide to create baths with a wide range of specific gravities. All three of these liquids are harmful to human health and can have negative effects on coal rheology. Perchloroethylene is a solvent that has been used to remove organic sulfur from coal prior to use in power generation plants. The PCE acts as a swelling agent and when heated in the presence of a catalyst, will cleave the C-S bonds, removing organic sulfur from the coal. PCE is a clear liquid however after the float and sink process it turns shades of yellow to dark brown. Portions of the coal become suspended in solution and many organically bound elements are released from the coal into the solution. This may result in certain elements being underestimated in the clean coal products arising from perchloroethylene based float and sink. The float and sink test assesses metallurgical coal washability using organic liquids, but traditional options like naphtha, perchloroethylene, and methylene bromide pose health risks. This study examines the effects of four liquids on coal quality and chemistry.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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) | 0.003 | 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