First CytoJournal Peer-Reviewer's Retreat in 2006 - open access, peer-review, and impact factor.
Bibliographic record
Abstract
CytoJournal organized its first Peer-Reviewer's Retreat of 2006 during the United States and Canadian Academy of Pathology Annual Meeting at Atlanta on Feb 12, 2006. The major topics discussed were open access, peer review, and impact factors. Representative participants volunteered to join the task force to prepare an instructional guide for peer-reviewing cytopathology manuscripts. Concern about the impact factor for CytoJournal was discussed. A feedback to its readers and authors was recommended. Impact factor calculation needs at least three years of journal statistics. It is only possible after two years from the time a journal is first accepted by Thomson-ISI for citation tracking. CytoJournal is still too new for an impact factor to be calculated. However, general progress of CytoJournal suggests an encouraging pattern for high impact factor.
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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 | 0.038 | 0.195 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.005 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.018 | 0.006 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.076 | 0.090 |
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".