Conference 2014: Promoting Today's Ideas for Tomorrow's Medicine: Pharmaceutical Science to Regulatory Science. An international symposium held jointly by CSPS and CC-CRS, June 10-13, 2014, Montreal, QC, Canada
Bibliographic record
Abstract
Plenaries and Special Presentations:Supriya Sharma, Acting Associate Assistant Deputy Minister, Health Canada: "Facing Tomorrow's Regulatory Challenges Today"Mick Bhatia, McMaster Stem Cell and Cancer Research Institute (SCC-RI): "Potential Applications of Human Stem Cells in Therapeutics"You Han Bae, University of Utah: "Current Paradigm of Cancer Nanomedicine and its Perspective - A Gap Between Experimental & Clinical Worlds"Laszlo Endrenyi, University of Toronto: CSPS Lifetime Achievement Award - "Sense and Sensibility (?) in Science"Rav Kumar, GlaxoSmithKline: CSPS Award of Leadership in Canadian Pharmaceutical Sciences - "A Bright Future for Pharmaceutical Sciences in Canada"Emmanuel Ho, University of Manitoba: GlaxoSmithKline/CSPS Early Career Award - "Development of Intravaginal Microbicides for the Prevention of HIV Infection"Building Opportunity Day:- The Life Sciences Industry in Canada: Now and the Future…- Start-up Pharma: Case Studies- Supporting Industry: Funding PanelConference Sessions:1. Early Discovery2. Latest Topics in Bioequivalence3. Successful Candidate Selection from Druggability to Regulatory Submission4. Regulatory Considerations and Analysis of Subsequent Entry Biologics5. Nanomedicine 6. Going Beyond Oral Delivery … Strategies to Enable Drugs to Reach New Targets7. New Trends in Mass Spectrometry for Drug Discovery & Development8. Biomarkers in Pharmacotherapy and Drug Development9. Application of Quality by Design (QbD) and Lifecycle Management to Analytical Procedure10. Current Topics in Drug Safety 11. Recent Trends in Material and Biomaterial Research
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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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.181 | 0.033 |
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".