Bibliographic record
Abstract
Erratum: Figures 2 and 3 in the Communicable Diseases Surveillance Highlights for 2nd quarter, 2007 were incorrect. The correct figures are published in the attached Erratum document. Communicable diseases surveillance outcomes from several reporting series as follows: Highlights for 2nd quarter, 2007 (bloodborne disease, vaccine preventable diseases, quarantinable diseases, other bacterial infections);National Notifiable Diseases Surveillance System tables, 1 April to 30 June 2007;Laboratory Serology and Virology Reporting Scheme tables, 1 April to 30 June 2007;Australian Sentinel Practices Research Network, reporting period 1 April to 30 June 2007;Gonococcal surveillance, reporting period 1 January to 31 March 2007;Australian childhood immunisation coverage, 1 January to 31 March 2007 cohort, assessed as at 30 June 2007;HIV and AIDS surveillance, reporting period 1 January to 31 March 2007, assessed as at 30 June 2007;Meningococcal surveillance, reporting period 1 April to 30 June 2007;National Enteric Pathogens Surveillance System, reporting period 1 April to 30 June 2007.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.168 | 0.109 |
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".