Inventory of Problems–29 (IOP-29) and Inventory of Problems–Memory (IOP-M) failure rates in patients with severe psychosis with and without criminal convictions
Bibliographic record
Abstract
Professionals are encouraged to include multiple symptom validity tests (SVTs) and multiple performance validity tests (PVTs) to assess the credibility of clinical and forensic presentations. Combining the Inventory of Problems–29 (IOP-29, an SVT) with its Memory module (IOP-M, a PVT), referred to here as ‘IOP-29-M’, may be especially beneficial, as it allows for rapid assessment of both symptom and performance validity. Accordingly, the present study aimed at ‘stress testing’ the IOP-29-M by examining base rates of failure (BRFail) in 109 patients with schizophrenia spectrum psychopathology, both with and without criminal convictions. In the overall sample, BRFail were low: 13.8% and 8.3%, respectively, for the standard (≥ .50) and conservative (≥ .65) cutoffs of the IOP-29, and 12.8% and 9.2%, respectively, for the standard (≤ 29) and conservative (≤ 28) cutoffs of the IOP-M. Importantly, very few individuals, less than 5%, failed both components of the IOP-29-M.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".