Summary of the 2002 CAG Strategic Planning Survey
Bibliographic record
Abstract
In thisJournal, we have recently highlighted the progress of the Canadian Association of Gastroenterology (CAG) in meeting the goals and objectives outlined in the first Strategic Plan developed in 1993 (1). In September 2002, a Strategic Planning survey was mailed to all members of the CAG (a copy of the cover letter and survey are present for viewing on the CAG Web site www.cag-acg.org/whatsnew/strat_plann_surv.htm. The results of the responses to this survey were collated and presented to the Past Presidents of the CAG at a retreat held during the summer of 2003. These findings were then employed to develop a Strategic Plan for the CAG to guide its progress and development over the next five to ten years. A subsequent issue of this Journal will include a presentation of the CAG 2004 Strategic Plan, which was finalized and approved by the CAG Governing Board during the annual fall meeting in October 2003.
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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 | 0.008 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.013 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.008 |
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".