Idaho Health and Welfare: Treatment and Transitions Program Evaluation 2022, Year 4 Annual Report
Bibliographic record
Abstract
The Idaho Department of Health and Welfare’s (IDHW) Treatment and Transitions Program serves individuals with severe mental illness and/or a co-occurring disorder who are experiencing homelessness or housing instability. The project is funded by the Substance Abuse and Mental Health Services Administration within the U.S. Department of Health and Human Services. As the Project Evaluator, Idaho Policy Institute oversees all evaluation activities and works closely with IDHW program staff to design data collection strategies, monitoring, and reporting for this program with the objectives to: Measure the program’s ability to meet its stated goals and objectives, and Inform IDHW’s decisions for program improvement. This report serves as the second quarterly evaluation of the program’s fourth year. Key achievements in this quarter include admitting 17 Idahoans experiencing severe mental illness and/or co-occurring disorders into the TNT Program. To date, the program has launched four enhanced safe and sober houses and directly provided 233 Idahoans with stable housing and supportive services.
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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 | 0.018 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".