Úmrtnost podle příčin v České republice, Německu a Francii v uplynulých čtyřech desetiletích
Bibliographic record
Abstract
Charles University in Prague Faculty of Science Summary of PhD thesis Four decades of cause-specific mortality in the Czech Republic, West Germany and France Markéta Pechholdová Prague 2010 M. Pechholdová Summary of PhD thesis 2 Charles University in Prague Programme: Demography Chair of departemental council: Prof. RNDr. Jitka Rychtaříková, CSc. Department: Department of demography and geodemography Author: Mgr. Markéta Pechholdová Supervisor: Prof. RNDr. Jitka Rychtaříková, CSc. Consultant: Dr France Meslé, MD, MSc, Research director at INED The dissertation can be viewed at the Dean's Office at Faculty of Science, Charles University in Prague. M. Pechholdová Summary of PhD thesis 3 Table of contents Table of contents ......................................................................3 Abstract ....................................................................................4 Introduction..............................................................................5 Hypotheses and aims of the study............................................7 Materials and methods..............................................................9 Results....................................................................................12 Summary and perspectives.....................................................15...
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; both teacher heads agree on what is shown here.
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".