Physical compatibility of calcium gluconate and magnesium sulfate injections
Bibliographic record
Abstract
Journal Article Physical compatibility of calcium gluconate and magnesium sulfate injections Get access Natasha Beauregard, Natasha Beauregard Pharmacy Student Université de Montréal Montreal, Quebec Canada Search for other works by this author on: Oxford Academic Google Scholar Nicolas Bertrand, B.Pharm., M.Sc., Nicolas Bertrand, B.Pharm., M.Sc. Pharmacist and Doctoral Student Université de Montréal Search for other works by this author on: Oxford Academic Google Scholar Annick Dufour, B.Pharm., M.Sc., Annick Dufour, B.Pharm., M.Sc. Pharmacist Charles Lemoyne Hospital Longueuil, Quebec Search for other works by this author on: Oxford Academic Google Scholar Olivier Blaizel, B.Pharm., Olivier Blaizel, B.Pharm. Pharmacist Charles Lemoyne Hospital Search for other works by this author on: Oxford Academic Google Scholar Grégoire Leclair, B.Pharm., Ph.D. Grégoire Leclair, B.Pharm., Ph.D. Pharmacist and Assistant Professor of Pharmaceutics Université de Montréal P.O. Box 6128 Downtown Station Montreal, Quebec Canada, H3C 3J7 gregoire.leclair@umontreal.ca Search for other works by this author on: Oxford Academic Google Scholar American Journal of Health-System Pharmacy, Volume 69, Issue 2, 15 January 2012, Page 98, https://doi.org/10.2146/ajhp110342 Published: 15 January 2012
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) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".