Bestrijding van de nieuwe influenza A (H1N1). II: epidemiologie en niet-medicamenteuze maatregelen.
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
Intensive surveillance in Mexico, the US, Canada, Spain and the UK has resulted in the first data on the new influenza A (H1N1) virus. As of yet, it is still unknown if, how and where further transmission within the Netherlands will take place. Therefore, intensified surveillance in the Netherlands is essential. Information on individual patients and their contacts is available through the compulsory notification of the new influenza. The number of general practitioners and nursing homes participating in surveillance through national networks is extended. In addition mortality statistics and internet-based surveillance are being used (the Dutch Great Influenza Survey). Based on studies on previous flu epidemics and mathematical models we can estimate the expected effect of non-pharmaceutical interventions. The reduction of social contacts, in particular through the closure of schools, hand washing routines and wearing of facemasks if done correctly, are expected to be effective non-pharmaceutical interventions in slowing the transmission of the new influenza virus. (aut. ref.)
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 | 0.016 | 0.018 |
| Meta-epidemiology (narrow) | 0.009 | 0.009 |
| Meta-epidemiology (broad) | 0.011 | 0.004 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.008 | 0.005 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 0.011 |
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