Metadata record for the article: Comparative survival analysis of multiparametric tests -when molecular tests disagree- A TEAM Pathology study
Bibliographic record
Abstract
Summary This metadata record provides details of the data supporting the claims of the related article: “Comparative survival analysis of multiparametric tests -when molecular tests disagree- A TEAM Pathology study”. The related study developed a method to compare signatures using a combined quantitative mRNA array covering key molecular signatures, trained against the results of the same signatures measured by original methodology. Type of data: Nanostring data files Subject of data: Homo sapiens Sample size: 3811 Population characteristics: patients with centrally confirmed estrogen receptor positive (ER+ve) HER2 negative (HER2-ve) disease Recruitment: Patient samples were derived from the Tamoxifen Exemestane Adjuvant Multicenter (TEAM) Trial pathology study (Supplementary Table 1 of the related publication; NCT00279448/NCT0032126/NCT0036270, NTR267, UMIN C000000057) and included only hormone receptor positive, post-menopausal cancers. Data access The data generated and analysed as part of this study take the form of 3811 individual Nanostring data files (one per sample). These data represent part of a clinical trial and were used under license for the current study, therefore restrictions apply to their availability. The data are housed in institutional storage at The Ontario Institute for Cancer Research (OICR) and are not publicly available, but can be made available upon request subject to approval from the TEAM steering committee and after appropriate data sharing agreements have been completed. Requests for data access should be directed to the senior author (John Bartlett). Corresponding author(s) for this study John M.S. Bartlett, Diagnostic Development, Ontario Institute for Cancer Research, 661 University Avenue, Suite 510, Toronto, Ontario, M5G 0A3 Canada. jbartlett@oicr.on.ca. Study approval Patients provided informed consent and this study was approved by the University of Toronto REB (protocol number 29021).
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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 | 0.013 | 0.122 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.656 | 0.268 |
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".