Randomized Phase II Trials: Inevitable or Inadvisable?
Bibliographic record
Abstract
Article Tools STATISTICS IN ONCOLOGY Article Tools OPTIONS & TOOLS Export Citation Track Citation Add To Favorites Rights & Permissions COMPANION ARTICLES No companion articles ARTICLE CITATION DOI: 10.1200/JCO.2009.26.3343 Journal of Clinical Oncology - published online before print April 20, 2010 PMID: 20406933 Randomized Phase II Trials: Inevitable or Inadvisable? Hui K. GanxHui K. GanSearch for articles by this author , Axel GrotheyxAxel GrotheySearch for articles by this author , Gregory R. PondxGregory R. PondSearch for articles by this author , Malcolm J. MoorexMalcolm J. MooreSearch for articles by this author , Lillian L. SiuxLillian L. SiuSearch for articles by this author , Daniel SargentxDaniel SargentSearch for articles by this author Show More From the Princess Margaret Hospital, Toronto; McMaster University, Hamilton, Ontario, Canada; and Mayo Clinic, Rochester, MN. https://doi.org/10.1200/JCO.2009.26.3343 First Page Full Text PDF Figures and Tables © 2010 by American Society of Clinical Oncology
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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 | 0.649 | 0.917 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.008 | 0.016 |
| Insufficient payload (model declined to judge) | 0.021 | 0.008 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".