Bibliographic record
Abstract
Cement and steel production, it released a large number of CO2 (about 4.5-5 billion tons/year), serious air pollution. The making use of Carbon Gasification Reaction-CGR (CO2 + C = 2 CO - 162.4 kj/mol) to convert the CO2 into gas CO, can get 4.581- 5.09 trillion M3 CO gas, It is equivalent to 1,6 to 1,8 Billion M3 energy of natural gas, which is equivalent to the annual transportation capacity of about 30 Nord Stream No2 lines. Abundant reserves of limestone and iron ore have become raw materials for fuel production. The Water Gas Reaction-WGR ( C+H2O=H2+CO - 118.82kj/mol) can be utilized to produce gas using green energy sources such as firewood, plastics, and rubber etc.,Due to its abundant resources, low cost and significant reduction in CO2 emissions, the author believes that this reaction can save the Earth and humanity.
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.
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 | 0.000 |
| 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".