Bibliographic record
Abstract
The success of The Canadian Journal of Infectious Diseases & Medical Microbiology over the past 16 years is largely attributable to the continuing and substantial support from a dedicated and enthusiastic Editorial Board. The individuals who have participated are listed on the masthead in each issue of the Journal. Many of the current Editorial Board members have participated continually since the initiation of the Journal ‐ a commitment of over 16 years. They have provided oversight as the Journal has evolved, and their critical insights in the discussion of issues as they have developed, as well as their suggestions for new directions, have significantly contributed to the maintenance of Journal quality. Our associate editors have been particularly active. They have coordinated and, frequently, developed much of the content for the special sections ‐ adult and paediatric infectious disease notes, clinical vignettes and reviews. They have also facilitated the peer review of submitted manuscripts by identifying reviewers and making recommendations for revisions and publication. These contributions have been essential to the continuing operation and high, scientific quality of the Journal.
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 | 0.051 | 0.203 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.036 | 0.012 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.015 | 0.023 |
| Insufficient payload (model declined to judge) | 0.040 | 0.033 |
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".