2020-2021 IgNITE Medical Case Competition: Regenerative Medicine
Bibliographic record
Abstract
The IgNITE Medical Case Competition is an annual research case competition organized by students at the University of Ottawa. Our mission is to provide high school and university students the opportunity to gain valuable research experience while networking with industry professionals. Each year students, in teams of 1-4, are paired with an experienced mentor to develop and present a novel research proposal within the specified theme of the competition. During the competition, students are taught the fundamental principles underlying three lab techniques which they can then use in their proposal or their future research career. This year’s theme was Regenerative Medicine and competitors learned about Immunofluorescence, Western Blot, and CRISPR-Cas9. In 2020-2021 the IgNITE community grew internationally with 570 high school and university students across the world participating in the competition. In this booklet we present the Top 40 teams and invite you to visit our website (www.ignitecompetition.org) to watch their pitch proposal videos. We hope you enjoy reading through some of this year’s top proposals and invite you to join our growing community.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".