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
Modern GPUs have been shown to be highly efficient machines for data-parallel applications such as graphics, image, video processing, or physical simulation applications. For example, a single ATI Radeon™ HD 5870 GPU has a theoretical peak of 2.72 teraflops (1012 floating-point operations per second) with a video memory bandwidth of 153.6 GB/s. While it is not difficult to port CPU algorithms to run on GPUs, it is extremely challenging to optimize the algorithms to achieve teraflops performance on GPUs. Only a select few expert engineers with the application domain expertise, a deep understanding of the modern GPU architecture, and an intimate knowledge of shader compiler optimization can program GPUs close to their optimal capabilities. Many developers are content with several folds of improvements rather than one or several orders of magnitude acceleration compared to their optimized CPU implementations.
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 | 0.000 |
| 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 it