Interrater Reliability and Concurrent Validity of the HCR-20 Version 3
Bibliographic record
Abstract
We evaluated the interrater reliability and concurrent validity of the HCR-20 Version 3 (HCR-20 V3 ). Three sets of ratings were completed by experienced clinicians for 35 forensic psychiatric patients, for both HCR-20 Versions 2 and 3. Reliability analyses focused on ratings of the presence of Version 3 risk factors, presence of Version 3 risk factor sub-items, relevance ratings for Version 3 risk factors, and Version 3 summary risk ratings for future violence. Concurrent validity analyses focused on the correlational association between Versions 2 and 3 in terms of the number of risk factors present. Findings indicated that Versions 2 and 3 were strongly correlated (.69 – .90). Interrater reliability was consistently excellent for the presence of risk factors and for summary risk ratings. The majority of relevance and sub-item ratings were in the good to excellent range, although there was a minority of such ratings in the fair or poor categories. Findings support the concurrent validity and interrater reliability of HCR-20 V3 . Implications for use of HCR-20 V3 by professionals and agencies are discussed.
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 | 0.043 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".