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
Because of world's high crude oil price, oil shale business is being paid more attention in China, just as in Estonia and in some other countries. Recently Chinese National Oil Shale Association was established in Fushun. Last year, Fushun shale oil plant under Fushun Bureau of Mines produced 180,000 tons shale oil; now the plant is building 20 Fushun-type retorts, so that it will operate totally 140 Fushun retorts in this year; daily processing capacity of each retort is 100 t oil shale, thus the yearly capacity of oil shale processing in Fushun will totally reach about 4.5 million tons. Due to the fact that in Fushun oil shale is the by-product of coal mining, the production cost of shale oil is low, about 1500 Chinese yuan per ton, while its selling price reaches 3000 yuan per ton, therefore the plant earns much money and is willing to expand its shale oil production. Fushun Bureau of Mines signed a contract with Krupp Co. and Canadian Taciuk to build an ATP retort, with the daily processing capacity of 6000 tons oil shale, the project was reviewed and passed by me, as the head of reviewing group, nominated by China's National Development Committee. Besides, Longkow Coal Mine, Shangdong Province, and Huadian, Jilin Province, are intended to build oil shale plants, each with the yearly production of 200,000 t shale oil. The projects are being reviewed.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 0.001 |
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