Conference 2017: From Innovation to Patient Solution. An international symposium held jointly by CSPS and CC-CRS, May 10-12, 2017, Montréal, QC Canada
Bibliographic record
Abstract
Plenaries and Special Presentations:Bettina Hamelin, NSERC: Positioning Canada to Lead: Come Together, Right Now!Frank Béraud, CEO, Montréal InVivo: Competitiveness of Quebec Life Sciences: How do we Compare to the Best? Jason Moffat, University of Toronto: Genome-scale CRISPR Screens and Protein Engineering for Target Discovery and TranslationMarcel Bally, BC Cancer Agency - CSPS Leadership Award: Lipids, Drugs and Metals: Ingredients for Promising Anticancer DrugsMohsen Sadatsafavi, University of British Columbia - GSK Early Career Award Lecture: Respiratory Evaluation Sciences Program (RESP): Innovations in Analytic Approaches to Improve Efficiency in Respiratory CareConference Sessions:Special Session: Innovation and Development of Modern Pharmaceuticals1. Immuno-Oncology2. Crossing Biological Barriers3. Translational Medicine4. Key Regulatory Issues5. What is Happening in Antibacterials?6. Gene Therapy7. Biosimilars8. Orphan Diseases
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".