"The role of PTSD symptom severity and relationship functioning in male and female veterans’ mental health service use": Correction.
Bibliographic record
Abstract
, Advanced Online Publication, Sep 29, 2022, np). In the original article, the second affiliation of Dawne Vogt was changed from "MGH Institute of Health Professionals, Boston, Massachusetts, United States" to "Department of Psychiatry, Boston University School of Medicine." In addition, the following sentence was deleted from the author note: "The study was funded by the National Center for PTSD." All versions of this article have been corrected. (The following abstract of the original article appeared in record 2023-05302-001). OBJECTIVE: Previous research has shown that difficulties in intimate relationships promote mental health treatment seeking for male veterans, but findings for female veterans have been mixed. The current study sought to further evaluate whether intimate relationship functioning is a motivator for mental health treatment seeking for male and female veterans and examine the impact of different types of trauma exposure on this association. METHOD: = 1,200). We used multiple groups path analysis to examine whether intimate relationship functioning mediated the association between PTSD symptom severity and mental health service use for male and female veterans. RESULTS: ² = .18). This mediation effect was not significant for female veterans. CONCLUSIONS: Our findings suggest that targeting intimate relationship functioning in treatment for male veterans may be beneficial because difficulties in these relationships appear to be a motivating factor for treatment seeking. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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 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 | 0.005 | 0.086 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.048 | 0.014 |
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".