Zdokonalené uživatelské signální odhady čtvrtletních změn hrubého domácího produktu České republiky [Enhanced user flash estimates of quarter - on-quarter changes in gross domestic product of the Czech Republic at constant prices]
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The authors present an algorithm for making flash estimate of quarterly change in gross domestic product at constant prices in the conditions of the Czech Republic. This algorithm is based on monthly/quarterly statistics on the output of individual branches, i.e. on data measuring trends in structured domestic supply. Estimates produced by the Czech Statistical Office and covering six preceding quarters make up the part of history, which the flash estimate is built on. It depends therefore on both the stability of methodology used for compiling quarterly national accounts and the perfection of its application. The authors assume that the innovated algorithm should be accessible to experts as well as the general public, and that it can serve them to arrive at well-founded rough information on total quarter-on-quarter change in GDP at constant prices a month or so before Czech Statistical Office official estimate is released.
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.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it