Monthly performance and supplementary reports 2008 / Health Service Executive
Bibliographic record
Abstract
Key Performance Summary -January 08The financial overrun in PCCC at the end of January is due to increased costs beyond budget provision in respect of the Primary Care Reimbursement Scheme and Demand Led Schemes.The situation is being closely monitored and a rigorous cost containment and business management programme is in place.The NHO also has an active cost containment process in place to address financial pressures and to ensure that activity levels will be managed in line with resource availability for the remainder of 2008. Key items to note for the month include:Implementation of A Fair Deal: From January 1 2008, the current nursing home subvention scheme was due to be replaced by a new nursing home care support scheme, A Fair Deal.The legislation to implement this has not yet been enacted.During 2008 PCCC will be implementing its introduction and any transition arrangements agreed with the DOHC, pending the legislation being introduced.• Private Nursing Home Beds: In January 2008 the Minister determined that an additional 200 long stay beds in private nursing homes be provided to support early discharge from acute hospitals in Dublin, HSE South and HSE West.The funding to be provided from the €110m in Letter
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.237 | 0.166 |
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".