Validation of Personality Inventory for DSM–5 (PID-5) algorithms to assess ICD-11 personality trait domains in a psychiatric sample.
Why this work is in the frame
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Bibliographic record
Abstract
The International Classification of Disease (11th ed.; ICD-11) personality disorder (PD) proposal characterizes personality psychopathology using an overall impairment severity dimension as well as dysfunctional personality style on the basis of five trait domain qualifiers: Negative Affectivity, Detachment, Dissociality, Disinhibition, and Anankastia. Recent research has indicated that trait facet scales from the Personality Inventory for DSM-5 (PID-5) can be used to index these five broad domains with promising construct validity. Our goal in the current study was to validate the PID-5 algorithms for the five ICD-11 trait domains with some minor adjustments based on the updated ICD-11 text. To this end, we used 343 psychiatric outpatients from a large Canadian metropolitan area, who had completed the PID-5, the Structured Clinical Interview for DSM-IV Axis II Disorders-Personality Questionnaire, the Minnesota Multiphasic Personality Inventory-2 Restructured Form, and the Revised NEO Personality Inventory. The factor structure of the ICD-11 domains was upheld, as expected, and associations with external measures of five-factor model and Personality Psychopathology Five personality traits as well as PD symptom counts adhered to a conceptually expected pattern. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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