A randomized controlled trial of emotionally focused individual therapy (EFIT) for depression and anxiety.
Bibliographic record
Abstract
= 12.28). Sixty-three percent identified as women, and 37% identified as male. In terms of ethnicity, 73% identified as White, 1.3% as Black, 7.7% as Southeast Asian, 7.7% as East Asian, 3.8% as Latinx, and 2.6% as First Nation. Participants completed the Outcome Questionnaire-30.2, the Patient-Reported Outcomes Measurement Information System (PROMIS)-Depression scale, and the PROMIS-Anxiety scale. Multilevel modeling results confirmed a significant difference in growth curves between the treatment group and controls on all measures. Follow-up analyses demonstrated significant reductions in symptom distress (Outcome Questionnaire-30.2) and symptoms of depression and anxiety (PROMIS-Depression and PROMIS-Anxiety) across 15 weeks. Overall, the results of this study suggest that EFIT leads to significant symptom reduction among people with depression and anxiety. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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".