An Analysis of CVSS v2 Environmental Scoring
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
This paper analyses the effect of the environmental metrics on the CVSS v2, and it shows that the environmental metrics impact the CVSS base score values in more ways than can be gleaned from the CVSS calculator provided by the NVD. This paper also unveils unexpected anomalies of "negative" calculated results of the Overall CVSS score when the base score is subjected to the environmental metrics. It also reveals that base scores of equal values do not necessarily remain equal when subjected to the environmental metrics. The presented results are based on a theoretical analysis of tthe formulas used in the CVSS v2 calculations. An approach to calculating the Overall CVSS score that eliminates the occurrence of "negative" values, and keeps the values within the range (0.0 -- 10.0) as defined in the guide for scoring vulnerabilities in the CVSS v2 is also suggested in this paper.
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 | 0.001 |
| 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