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
Supercapacitor (SCs), known as outstanding electrical storage capacity, which times more than the batteries and fuel cells, recharges with a large amount of released power, fast overpassing the gap between capacitors and batteries, and widely be employed in the field of energy storage. Metal-organic frameworks (MOFs) attract intensive attention as electrode materials in supercapacitor application, owing to their ultrahigh porosity, adjustable distribution of pore size, convenient synthesis, great structural adaptability, etc. Composited with different materials, such as carbons family, metal oxide, can improve pristine MOFs' conductivity and chemical stability, which are all-important as electrode materials in SCs. This review comprehensively summarizes the common synthesis methods of four kinds of MOFs materials: the pristine MOFs, MOFs composites, MOFs-derived nanoporous carbons, and MOFs-derived metal oxides. Also, the applications of these four kinds of materials in SCs electrode materials are systematically introduced. Furthermore, a perspective on MOFs materials in the field of SCs is discussed.
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) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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