A Preliminary Analysis of Sexual Recidivism and Predictive Validity of the Static-99R in Men Discharged From State Hospitals Pursuant to California’s Sexually Violent Predator Act
Bibliographic record
Abstract
We examined the recidivism rates and the predictive validity of the Static-99R in 335 men who were detained or civilly committed and released from California State Hospitals pursuant to the Sexually Violent Predator (SVP) Act, and followed up for approximately 21 years from date of hospital admission. In all, 8.7% were arrested or convicted for a new sexual offense during the total follow-up ( N = 335) and 7.8% over a fixed 5-year follow-up ( n = 205). The Static-99R demonstrated small in magnitude discrimination for sexual, violent, and general recidivism (area under the curve [AUC]/C = .56 to .63). Calibration analyses, conducted through expected/observed (E/O) index, demonstrated that the Static-99R overpredicted sexual recidivism, irrespective of whether the Routine or High Risk/Need norms were used. Observed recidivism rates were lower than predicted by Static-99R scores and may be the result of the sample’s older age at release, lengthy hospitalization, or other factors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".