SHA-Based National Health Accounts in Thirteen OECD Countries
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Bibliographic record
Abstract
Australia No data available for HF.2.4 (Non-profit institutions) Canada No data available for HF.2.4 and HF.2.5 (Corporations) Denmark No data available for HF.2.4 and HF.2.5. Long-term nursing care (LTC) is overestimated: includes accommodation costs in all residential care facilities. Germany Hungary LTC is underestimated: it includes only LTC services financed by compulsory health insurance and cost of health manpower employed in residential care facilities (financed by local governments). Home care provided by households is not included. Japan No data available for HF.2.4. Certain services (private room charges, massage, acupuncture, etc.) not covered by insurance cannot be estimated. Korea LTC provided outside the nationally defined health sector is not included. Mexico LTC provided outside the nationally defined health sector is not included. Netherlands No separate data presented for HF.2.4 and HF.2.5 due to quality of the separate items Poland LTC provided outside the nationally defined health sector is only partially included. Spain No data available for HF.2.5. LTC provided outside the nationally defined health sector is not included. Switzerland No data available for HF.2.5. LTC figure is in the upper range, partly because it includes overall costs of institutions where expenditure for nursing care, surveillance and ADL represents at least half of the total expenditure. Turkey No data available for long-term care (HC.3) and home care, furthermore providers outside the nationally defined health sector (HP.7 and HP.9) are not included. Box A1 Main departures from ICHA-HF Australia No data available for HF.2.4 (Non-profit institutions) Canada No data available for HF.2.4 and HF.2.5 (Corporations) Additional category is created for "Non-consumption expenditure" Denmark No data available for HF.2.4 and HF.2.5 Germany Hungary Japan No data available for HF.2.4 Under Private insurance (HF.2.2) only administration is reported. (Expenditure on benefits could not be separated from households.) Households' expenditure on some services (private room charges, massage, acupuncture, etc.) not covered by insurance are not included. Korea Central (HF.1.1.1) and local (HF.1.1.2) governments are not separately reported. Mexico Payments by municipal governments are not included No data available for HF.2.4 and HF.2.5 Netherlands No data presented for HF.2.4 and HF.2.5 due to quality of the separate items Poland Expenditure by corporation includes estimates for debts by health care providers to suppliers of medical and other goods used in producing health services. Spain No data available for HF.2.5 Switzerland No data available for HF.2.5 Turkey Note: This table presents information on whether all financing agents were taken into account. It does not, however, show whether all expenditure by a particular financing agent was accounted for. (This information is provided in Box A3.)
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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 it