Bibliographic record
Abstract
Energy is one of the main drivers for the sustainable development of any country like India. More than 80% of global energy requirements including India are met by fossil fuels. However, India produces only 30% of her energy requirements indigenously, and spends a huge amount of money in importing the remaining. Moreover, discovery of major oil/gas fields has remained almost stagnant during the last few decades. The rising demand for carbon emission-free energy and dwindling trend of conventional fossil fuels necessitates looking for an alternate source of energy. Gas hydrates, crystalline form of methane (99.9%) and water, are envisaged to provide one of the best feasible solutions for the future generations because of their huge potential and natural occurrences. The successful production tests in Mckenzie delta of Canada in 2008, in Alaska of USA in 2012, and in Nankai Trough off Japan in 2013 have provided an impetus to the scientific and technological community for the delineation & assessment of gas hydrates, followed by development of production technology.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".