Delivery of multimedia educational presentations via streaming media
Bibliographic record
Abstract
Journal Article Delivery of multimedia educational presentations via streaming media Get access Elaine Chong, B.SC.PHARM., Elaine Chong, B.SC.PHARM. Manager, Clinical Services Virtual Learning, Inc., Toronto, ON, Canada; when this article was written she was a doctor of pharmacy degree student, Faculty of Pharmaceutical Sciences, University of British Columbia (UBC), Vancouver, BC, Canada Search for other works by this author on: Oxford Academic Google Scholar Robert M. Balen, Pharm.D., Robert M. Balen, Pharm.D. Informatics Coordinator Pharmaceutical Sciences Clinical Service Unit, Vancouver General Hospital (VGH), Vancouver Coastal Health Authority (VCHA) Address correspondence to Dr. Balen at the Pharmaceutical Sciences Clinical Service Unit, Vancouver General Hospital, 855 West 12th Avenue, Vancouver, BC V5Z 1M9, Canada rbalen@interchange.ubc.ca. Search for other works by this author on: Oxford Academic Google Scholar Peter J. Jewesson, Ph.D. Peter J. Jewesson, Ph.D. Professor Faculty of Pharmaceutical Sciences, UBC, and Clinical Director, Pharmaceutical Sciences Clinical Service Unit, VGH, VCHA Search for other works by this author on: Oxford Academic Google Scholar American Journal of Health-System Pharmacy, Volume 60, Issue 23, 1 December 2003, Pages 2475–2478, https://doi.org/10.1093/ajhp/60.23.2475 Published: 01 December 2003
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".