CSHP Summer Educational Sessions (SES) 2009: Poster Abstracts / Séances éducatives d’été (SÉÉ) 2009 de la SCPH : Résumés des affiches
Bibliographic record
Abstract
de la SCPH : Résumés des affiches 1. Switching Hemodialysis Patients from Epoetin Alfa in Multi-Dose Vials to Pre-Filled Syringes is Associated with Cost Savings 2. Sodium Thiosulfate-Based Treatment in Calcific Uremic Arteriolopathy: A Provincial Case Series 3. Process Flow for Erythropoiesis Stimulating Agents (ESA) Delivery to Hemodyalisis (HD) Patients at Toronto General Hospital -Process Optimization and Impact Analysis of Alternative Dosing Frequencies 4. Retrospective Observational Study of Regularly-Scheduled Sustained-Release Hydromorphone in Orthopedic Surgery 5. Clinical Benefits and Economic Impact of Surgical Pharmacists at Capital Health: Preliminary Results 6. Provision of an 8 hour Clinical and Distributional Pharmacy Service for a Neonatal Intensive Care Unit (NICU) at a Tertiary Care Facility 7. Intégration d'une base de données de produits de santé naturels à un progiciel pharmacie en établissement de santé 8. Daily Dalteparin for the Treatment of Pulmonary Embolism in a Hemodialysis Patient 9. Long Term Effect of a 30% Ethanol / 4% Sodium Citrate Locking Solution on the Mechanical Properties of Hemodialysis Catheters 10.A Retrospective Comparison of the Cockcroft-Gault and Modified Diet in Renal Disease Equations for Renal Dosing of Oseltamivir in Continuing Care Patients 11.Comparing Continuously-Infused Amphotericin-B with Liposomal Amphotericin: A Monte Carlo Analysis 12.The Utility of Acetaminophen Absorption Testing in the Critically Ill 13.Benefit of Achieving Higher AUC/MIC Targets with Ciprofloxacin when Treating Enterobacteriaceae Bloodstream Infections 14. Selecting the Best Empirical Therapy for Patients in Canadian Intensive Care Units 15.Therapeutic Monitoring of Doxycycline in Q Fever Endocarditis 16.Hospital-wide Multidisciplinary Intervention Improves Prescribing for Prophylaxis of the Most Common Preventable Cause of Hospital Deaths 17. Establishing an Interprofessional Medication Reconciliation Process for Elective Surgery Patients
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.330 | 0.070 |
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 source (direct Gemma or distilled Codex), 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".