Children's Oncology Group's 2023 blueprint for research: Young investigators
Bibliographic record
Abstract
The Children's Oncology Group (COG) Young Investigators (YI) Committee is an administrative committee in which liaisons represent 30 COG committees, and was created to facilitate the integration of YIs into the organization, and prepare them for future COG leadership roles. The mentorship program has mentored over 400 YIs since 2005 and currently has 175 active participants. The COG YI Master Roster is a database YIs can join, which allows them to post their interests and accomplishments to COG leadership, and 321 YIs have already joined this list. The YI Committee has held virtual symposia designed to describe how COG operates and provide guidance on how YIs can reach their goals; over 300 YIs have attended these since 2021 and have consistently rated them as helpful. Through these and other elements of the program, the YI Committee remains committed to developing a future pipeline of new investigators.
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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 | 0.071 | 0.064 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.005 | 0.013 |
| Research integrity | 0.024 | 0.028 |
| Insufficient payload (model declined to judge) | 0.052 | 0.050 |
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".