Sex offender risk assessment with the Risk Matrix 2000: validation and guidelines for combining with the STABLE-2007
Bibliographic record
Abstract
Comprehensive risk assessment can benefit from combining static and dynamic scales. The purpose of this study was to validate the Risk Matrix 2000, examine incremental validity of the STABLE-2007 and develop structured rules for combining the two scales. In a routine sample of Canadian sex offenders (n = 710), the Risk Matrix 2000/Sex, /Violence and /Combined scales significantly predicted the six recidivism outcomes: sexual, any sexual (including sexually motivated breaches), non-sexual violent, violent, any crime (excluding breaches) and any recidivism (including breaches). Area under the receiver operating characteristic curve (AUC) values were moderate to large. The STABLE-2007 generally added incremental predictive validity to the Risk Matrix 2000. Structured rules and recidivism estimates are provided for combining the two scales. The current study illustrates that predictive accuracy can be improved by combining static and dynamic risk scales in a structured manner.
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.
How this classification was reachedexpand
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 | 0.004 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".