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 emerged as an important paradigm in computing today with the potential to offer scalable, fault tolerant services and reduce costs significantly. However, security concerns present significant barriers in its adoption industry wide. The multitenant nature of the cloud and the fact that data is stored in multiple locations compound these security concerns. Confidentiality, authenticity, integrity, availability and auditability are key aspects that need to be accounted for, when dealing with security. Guarantees of secure data and transactions from the service provider will enable more users to migrate to a cloud environment. Employing Intrusion Detection Systems, Cryptographic techniques and Computer Forensic Tools that recover deleted files and collect digital evidence of intruder activities are among some of the guarantees a trustful service provider can provide. This paper presents a survey on some of the common threats and associated risks on cloud platforms along with ways of tackling these threats. We also review data management and security model of some of the leading cloud service providers.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| 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