The CAG ePortal – New look! New material! New functions! New ‘Exclusive’ App!
Bibliographic record
Abstract
C AG's Educational Portal (ePortal) is a web based platform launched in 2009 to help the membership keep up to date and fulfill their education/Maintenance of Certification (MOC) requirements.With member feedback, the CAG ePortal Committee Members (Kevin Waschke [Lead], Adriana Lazarescu and Ralph Lee) have been working over the past 12 months to improve access to the site, update the look and feel, add links to pertinent gastroenterology-related Journal Feeds, add a CAG Exclusive Smartphone App as well as adding additional resources and lectures.The ePortal continues to be an invaluable tool to supplement the educational opportunities already available to CAG members (ie, CDDW, Regional Meetings, etc).The ePortal allows members to review specific topic areas, perform short self-assessments, discuss topics with colleagues across Canada, generate ideas for personal learning projects, keep up to date with CAG events and much more.Sign in and explore the ePortal.Have a look at some highly rated CDDW lectures from previous meetings.Test your knowledge before and after viewing educational material.To help you get the most out of the ePortal and the new MOC credits, be sure to access the video presentation at "ePortal: CAG MOCERT -Easy as 1-2-3" by CAG's MOC Chair, Connie M Switzer.The ePortal will track your time spent on the site.You can review and print your activity summary anytime, anywhere.In the future, we hope to link this information directly to the Royal College of Physician and Surgeons of Canada (RCPSC) and, thus, save you the time and effort of transcribing activities into your RCPSC account.Have fun, learn a lot, and send us your feedback so we can continue to improve.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".