Antidepressant Usage in the Canadian Forces
Bibliographic record
Abstract
This study was performed to evaluate the use of antidepressant medications among Canadian Forces (CF) members. A retrospective chart review was undertaken at seven CF bases for members who received antidepressant medications during a 6-month period. Data were collected on doses, duration, and types of antidepressant drugs, indications for therapy, and prescriber characteristics. Indications were classified as depression, anxiety disorders (including post-traumatic stress disorder [PTSD]), or nonpsychiatric conditions. A total of 1,024 charts were reviewed. Antidepressant usage rates were similar across sites for depression and anxiety but differed for PTSD. Rates of PTSD demonstrated more variability than did rates of depression or anxiety disorders among CF members. Antidepressant therapy is also frequently prescribed for nonpsychiatric disorders. Indications for the use of antidepressants thus varied among CF members at different bases. Better detection and treatment of depression may be required in this population.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".