UK extended Medical Assessment Programme for ex-service personnel: the first 150 individuals seen
Bibliographic record
Abstract
Aims and method To describe an interim service set up to examine the breadth of UK ex-service personnel's concerns in relation to their mental health and military service and provide a record of the first 150 individuals assessed following conformation of military service and examination of all available military and civilian medical records. Results The majority of attendees were White male ex-soldiers. Average age, service and time to assessment were 44.5, 15.8 and 11.7 years respectively. Two-thirds were receiving help from the National Health Service and ex-service nongovernmental organisations. Rates of post-traumatic stress disorder were similar to previous UK studies. Obsessional symptoms were of relevance to the clinical presentation in a third. Fabrication and/or exaggeration occurred in about 10%. Clinical implications The spread of diagnoses and delay in help-seeking are similar to civilians. The link between mental disorders and military service is seldom straightforward and fabrication or exaggeration is difficult for civilians to recognise. Verification and contextualisation of service using contemporaneous service medical records is important given the possible occupational origin of mental health conditions.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".