Error rates for computerized order entry by physicians versus nonphysicians
Bibliographic record
Abstract
Journal Article Error rates for computerized order entry by physicians versus nonphysicians Get access Dorothy George, B.SC.PHARM., Dorothy George, B.SC.PHARM. Patient Care Manager Pharmacy Department, Foothills Medical Centre, Calgary Health Region (CHR), Calgary, Alberta, Canada Address correspondence to Ms. George at the Pharmacy Department, Foothills Medical Centre, Calgary Health Region, 1403 29th Street, N.W., Calgary, Alberta, Canada T2N 2T9 dorothy.george@calgaryhealthregion.ca. Search for other works by this author on: Oxford Academic Google Scholar Nyanza Austin-Bishop, B.SC.PHARM. Nyanza Austin-Bishop, B.SC.PHARM. Anticoagulation Management Pharmacist, Outpatient Pharmacy, Peter Lougheed Centre, CHR; at the time of this study she was a pharmacy resident, CHR Search for other works by this author on: Oxford Academic Google Scholar American Journal of Health-System Pharmacy, Volume 60, Issue 21, 1 November 2003, Pages 2250–2252, https://doi.org/10.1093/ajhp/60.21.2250 Published: 01 November 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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".