Getting further information from poster presentations
Bibliographic record
Abstract
Journal Article Getting further information from poster presentations Get access Robin J. Ensom, Pharm.D., FCSHP, Robin J. Ensom, Pharm.D., FCSHP Pharmacy Leader Providence Health Care—St. Paul’s Hospital, Vancouver, BC V6Z 1Y6, Canada Search for other works by this author on: Oxford Academic Google Scholar Mary H.H. Ensom, Pharm.D., FASHP, FCCP, Mary H.H. Ensom, Pharm.D., FASHP, FCCP Clinical Pharmacy Specialist Department of Pharmacy (0B7), Children’s and Women’s Health Centre of British Columbia, 4480 Oak Street, Vancouver, BC V6H 3V4, Canada ensom@interchange.ubc.ca Search for other works by this author on: Oxford Academic Google Scholar W. Greg Leader, Pharm.D. W. Greg Leader, Pharm.D. Associate Professor and Clinical Coordinator Division of Clinical and Administrative Sciences, Northeast Louisiana School of Pharmacy Monroe, LA 71209 Search for other works by this author on: Oxford Academic Google Scholar American Journal of Health-System Pharmacy, Volume 57, Issue 1, 1 January 2000, Pages 25–26, https://doi.org/10.1093/ajhp/57.1.25 Published: 01 January 2000
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".