Metadata record for the article: Crown-Like Structures in Breast Adipose Tissue of Breast Cancer Patients: Associations with CD68 Expression, Obesity, Metabolic Factors and Prognosis
Bibliographic record
Abstract
Summary This metadata record provides details of the data supporting the claims of the related article: “Crown-Like Structures in Breast Adipose Tissue of Breast Cancer Patients: Associations with CD68 Expression, Obesity, Metabolic Factors and Prognosis”. The related study examined associations of H&E and CD68-detected crown-like structures of the breast (CLS-B) with clinicopathologic features using chi-squared tests, with metabolic factors using Wilcoxon rank sum tests and with disease free and overall survival using Cox regression models. Type of data: clinical data Subject of data: Homo sapiens; antibodies Sample size: 535 Population characteristics: The population comprised a consecutive cohort of women who underwent treatment for operable breast cancer at Mount Sinai Hospital (Toronto, Canada) between June 1989 and June 1996. Women were included if they had age less than 75 years, complete resection of breast cancer and axillary dissection for previously untreated breast cancer. Women were excluded if they had prior malignancy (except cervical in situ lesion or nonmelanoma skin cancer), a serious coexisting medical condition, including diabetes, use of medications that modified key study variables, or inability to provide consent. Recruitment: Consecutive women were recruited from those women undergoing surgery for breast cancer (see above). Women were excluded if they had prior malignancy (except cervical in situ lesion or nonmelanoma skin cancer), a serious coexisting medical condition, including diabetes, use of medications that modified key study variables, or inability to provide consent. No systematic source of bias was identified. Data access All data underlying the claims of the related article are contained in the tab-delimited text file ‘NRF database.txt’. These data are housed on institutional storage and are not publicly available in order to protect patient privacy, as no Ethics approval to share data was received. However, the data will be made available upon request to individual investigators. Data enquiries should be addressed to the corresponding author. Corresponding author(s) for this study Dr. Martin C. Chang, University of Vermont Medical Center, Department of Pathology & Laboratory Medicine, Main Pavilion 1st Floor, 111 Colchester Avenue, Burlington, VT 05401. Martin.Chang@uvmhealth.org Study approval Ethics oversight was provided by Mount Sinai Hospital, Toronto, Canada, Research Ethics Board. Informed consent was obtained from all participants for both the original prospective trial, and for the use of all data in future research-ethics-board-approved research.
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 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 | 0.002 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.539 | 0.170 |
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".