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
Cloud computing has recently emerged compelling paradigm by introducing several characteristics such as on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Despite the fact that cloud computing offers huge cost benefits for companies, the unique security challenges have been introduced in a cloud environment that make risk assessment challenging. Cloud consumers need a protection to their cloud applications against cyber attacks. Although some security controls and policies are devised for each element of cloud computing, we need a framework with overall quantitative risk assessment model. The aim of this paper is to propose a framework for assessing the security risks associated with cloud computing platforms. The fully quantitative, iterative, and incremental approach enables cloud customer/provider to assess and manage cloud security risks. A proper result of risk assessment leads to have appropriate risk management mechanism for mitigating risks and reach to an acceptance security level.
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 | 0.000 |
| 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 | 0.001 | 0.001 |
| 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