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
The objective of this paper is to study the positions and features of the boundary and domestic seas and lakes of Iran and possibility of using these energy sources and proposed approaches to do so. Generally the potential energies in the seas and oceans are classified in five groups, which are: wave energy, tidal energy, ocean thermal energy, ocean current energy, and salinity gradient energy. Regarding the variety of the country’s bodies of water other than ocean current energy it is possible to use rest of these energy resources. Each bodies of water of Iran are suitable for specific kind of seas energies. There are great sources of tidal energy in Persian Gulf coasts especially in west side of it. For thermal energy the ideal sites are located in the Caspian Sea coasts and wave energy can economically be extracted in Gulf of Oman coasts, especially in remote islands which are not connected to the grid. Finally, the Urmia Lake is best location for salinity gradient energy. This study shows that more investment is required in this area for research and small scale plants.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it