Bibliographic record
Abstract
Hrvatsku zdravstvenu anketu 2003. provelo je Ministarstvo zdravstva RH u suradnji sa Skolom narodnog zdravlja «Andrija Stampar» i Hrvatskim zavodom za javno zdravstvo kao dio projekta za prevenciju kardiovaskularnih bolesti financiranog kreditom Svjetske banke. Statistics Canada sudjelovala je u projektu kao konzultant za dizajn istraživanja, statisticku obradu i kvalitetu podataka. Projekt je vodio prof. S. Vuletic, uz sudjelovanje tima koji je ukljucio istraživace iz SNZ-a «A. Stampar», HZJZ-a, županijskih zavoda te niza drugih ustanova. Cilj istraživanja bio je pružiti sveobuhvatne podatke o zdravlju stanovnistva Hrvatske, ukljucujuci pristup i koristenje zdravstvene zastite, zdravstveni status te odrednice zdravlja (pusenje, fizicka aktivnost, prehrana, alkohol) s posebnim naglaskom na kardiovaskularne bolesti.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.044 | 0.025 |
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".